The panel Package. June 10, Description Functions and datasets for fitting models to Panel data. dclike.panel
|
|
|
- Logan Bruce
- 5 years ago
- Views:
Transcription
1 The panel Package June 10, 2006 Version Author Robert Gentleman Maintainer Robert Gentleman Functions and datasets for fitting models to Panel data. Title Panel License GPL R topics documented: dclike.panel eddcmp kldata panel Index 5 dclike.panel A function to compute the value of the log likelihood for a given set of panel data and a given value of the parameters. A fortran program is called to compute the value of the log likelihood. dclike.panel(indata, ainv, amat, evalues, ncov, nstage) 1
2 2 eddcmp indata ainv amat evalues ncov nstage indata is a list with one entry for each individual. Each entry is a structure with the components: time: the inspection times for that individual stage: the stage the individual is in at each inspection times cov: the value of the covariate for that individual at the inspection time len: the number of inspections for that individual The inverse of the intensity matrix. The intensity matrix. The eigenvalues. The number of levels the covariate comes at. nstage is the number of stages in the Markov model. The value of the log likelihood is returned. Side Effects There are no known side effects. See Also panel, eddcmp eddcmp Eigenvalue eigenvector decomposition. A function that produces an eigenvalue eigenvector decomposition of a transition intensity matrix for a Markov chain in double precision. eddcmp(inmat) inmat inmat is any square matrix describing the markov chain A list with named components is returned. evectors evalues im.evalues a matrix containing the left eigenvectors a vector containing the eigenvalues a vector which contains the imaginary components of the eigenvalues if there are any (otherwise this is the zero vector).
3 kldata 3 COMMENTS The matrix inmat is decomposed as evectors %*% diag(evalues) %*% solve(evectors). For most matrices of interest the eigenvalues will all be real so the imaginary part is commonly ignored. The eigenvalues are ordered from smallest to largest. kldata The data set given in Kalbfleisch and Lawless (1985). In Section 6 of Kalbfleisch and Lawless (1985) some data simulated from a three-state Markov model is given. They started 15 individuals in each of States 1 and 2 for each of four groups.individuals were followed for 5 transitions at equidistant time intervals. data(kldata) Source Kalbfleisch, J.D. and Lawless, J.F. The analysis of panel data under a Markov assumption, Journal of the American Statistical Association, 80, , (1985). data(kldata) ##see the user's manual for explicit examples panel A function to compute the maximum likelihood estimates of the transition parameters from panel data. The algorithm is discussed in Kalbfleisch and Lawless (1985) and further in Gentleman (1994). panel(indata, qmatf, gamma, qderivf, npar, nstage, ncov, verbose = F, tol = 0.001)
4 4 panel indata npar nstage ncov qmatf gamma qderivf verbose tol indata is a list with one element for each individual. Each element of indata is a structure with 4 components. time: a vector containing the inspection times stage: a vector containing the state of the individual at the corresponding inspection time cov: a vector containing the covariate values at the inspection times len: the number of inspections on that individual npar is the number of parameters that are to be estimated nstage is the number of stages/states in the model ncov is the number of levels the covariate comes at qmatf is a function that accepts as input gamma (the parameters) and returns an array (ncov x nstage x nstage) with the ncov transition intensity matrices. gamma is a vector (npar long) of estimates of the transition parameters. qderivf is a function that takes gamma as an argument and returns an array (npar x ncov x nstage x nstage) with the derivatives of the transition intensity matrices with respect to each of the parameters. If verbose is set to TRUE then on each iteration the current estimate of theta and the current value of the score function are printed out. The tolerance used to determine convergence. panel returns a list with the parameter estimates, their standard errors and the log likelihood on convergence. Side Effects There are no known side effects. References Kalbfleisch J. D. and Lawless J. F. "The Analysis of Panel Data Under a Markov Assumption", JASA (1985), p Gentleman R. (1994). The Use of Covariate Information in Multi-state Markov Models. Technical Report 13, Department of Statistics, University of Auckland. See Also eddcmp, dclike.panel #See the accompanying document "A Users Guide to panel" for #examples and code segments.
5 Index Topic array eddcmp, 2 Topic datasets kldata, 3 Topic models panel, 3 Topic utilities dclike.panel, 1 dclike.panel, 1 eddcmp, 2 kldata, 3 panel, 3 5
The sbgcop Package. March 9, 2007
The sbgcop Package March 9, 2007 Title Semiparametric Bayesian Gaussian copula estimation Version 0.95 Date 2007-03-09 Author Maintainer This package estimates parameters of
Package msir. R topics documented: April 7, Type Package Version Date Title Model-Based Sliced Inverse Regression
Type Package Version 1.3.1 Date 2016-04-07 Title Model-Based Sliced Inverse Regression Package April 7, 2016 An R package for dimension reduction based on finite Gaussian mixture modeling of inverse regression.
Package scio. February 20, 2015
Title Sparse Column-wise Inverse Operator Version 0.6.1 Author Xi (Rossi) LUO and Weidong Liu Package scio February 20, 2015 Maintainer Xi (Rossi) LUO Suggests clime, lorec, QUIC
Principal Components Analysis (PCA)
Principal Components Analysis (PCA) Principal Components Analysis (PCA) a technique for finding patterns in data of high dimension Outline:. Eigenvectors and eigenvalues. PCA: a) Getting the data b) Centering
Package geigen. August 22, 2017
Version 2.1 Package geigen ugust 22, 2017 Title Calculate Generalized Eigenvalues, the Generalized Schur Decomposition and the Generalized Singular Value Decomposition of a Matrix Pair with Lapack Date
Package elhmc. R topics documented: July 4, Type Package
Package elhmc July 4, 2017 Type Package Title Sampling from a Empirical Likelihood Bayesian Posterior of Parameters Using Hamiltonian Monte Carlo Version 1.1.0 Date 2017-07-03 Author Dang Trung Kien ,
Package sbgcop. May 29, 2018
Package sbgcop May 29, 2018 Title Semiparametric Bayesian Gaussian Copula Estimation and Imputation Version 0.980 Date 2018-05-25 Author Maintainer Estimation and inference for parameters
Package ShrinkCovMat
Type Package Package ShrinkCovMat Title Shrinkage Covariance Matrix Estimators Version 1.2.0 Author July 11, 2017 Maintainer Provides nonparametric Steinian shrinkage estimators
Package SimSCRPiecewise
Package SimSCRPiecewise July 27, 2016 Type Package Title 'Simulates Univariate and Semi-Competing Risks Data Given Covariates and Piecewise Exponential Baseline Hazards' Version 0.1.1 Author Andrew G Chapple
The nltm Package. July 24, 2006
The nltm Package July 24, 2006 Version 1.2 Date 2006-07-17 Title Non-linear Transformation Models Author Gilda Garibotti, Alexander Tsodikov Maintainer Gilda Garibotti Depends
Package rnmf. February 20, 2015
Type Package Title Robust Nonnegative Matrix Factorization Package rnmf February 20, 2015 An implementation of robust nonnegative matrix factorization (rnmf). The rnmf algorithm decomposes a nonnegative
Package flexcwm. R topics documented: July 11, Type Package. Title Flexible Cluster-Weighted Modeling. Version 1.0.
Package flexcwm July 11, 2013 Type Package Title Flexible Cluster-Weighted Modeling Version 1.0 Date 2013-02-17 Author Incarbone G., Mazza A., Punzo A., Ingrassia S. Maintainer Angelo Mazza
Package gma. September 19, 2017
Type Package Title Granger Mediation Analysis Version 1.0 Date 2018-08-23 Package gma September 19, 2017 Author Yi Zhao , Xi Luo Maintainer Yi Zhao
Package matrixnormal
Version 0.0.0 Date 2018-10-26 Type Package Title The Matrix Normal Distribution Depends R (>= 3.5.0) Imports mvtnorm (>= 1.0.8), utils (>= 3.5.0) Package matrixnormal October 30, 2018 Suggests datasets
Package SpatialVS. R topics documented: November 10, Title Spatial Variable Selection Version 1.1
Title Spatial Variable Selection Version 1.1 Package SpatialVS November 10, 2018 Author Yili Hong, Li Xu, Yimeng Xie, and Zhongnan Jin Maintainer Yili Hong Perform variable selection
Package MixGLasso. August 31, 2013
Package MixGLasso August 31, 2013 Type Package Title The MixGLasso-package is a powerful tool for clustering high-dimensional data. Version 1.0 Date 2013-08-15 Author Nicolas Staedler Maintainer Nicolas
Package flexcwm. R topics documented: July 2, Type Package. Title Flexible Cluster-Weighted Modeling. Version 1.1.
Package flexcwm July 2, 2014 Type Package Title Flexible Cluster-Weighted Modeling Version 1.1 Date 2013-11-03 Author Mazza A., Punzo A., Ingrassia S. Maintainer Angelo Mazza Description
The evdbayes Package
The evdbayes Package April 19, 2006 Version 1.0-5 Date 2006-18-04 Title Bayesian Analysis in Extreme Theory Author Alec Stephenson and Mathieu Ribatet. Maintainer Mathieu Ribatet
The paran Package. October 4, 2007
The paran Package October 4, 2007 Version 1.2.6-1 Date 2007-10-3 Title Horn s Test of Principal Components/Factors Author Alexis Dinno Maintainer Alexis Dinno
Section 4.1 The Power Method
Section 4.1 The Power Method Key terms Dominant eigenvalue Eigenpair Infinity norm and 2-norm Power Method Scaled Power Method Power Method for symmetric matrices The notation used varies a bit from that
Package covsep. May 6, 2018
Package covsep May 6, 2018 Title Tests for Determining if the Covariance Structure of 2-Dimensional Data is Separable Version 1.1.0 Author Shahin Tavakoli [aut, cre], Davide Pigoli [ctb], John Aston [ctb]
Package rbvs. R topics documented: August 29, Type Package Title Ranking-Based Variable Selection Version 1.0.
Type Package Title Ranking-Based Variable Selection Version 1.0.2 Date 2015-12-08 Package rbvs August 29, 2016 Author Rafal Baranowski, Patrick Breheny, Isaac Turner Maintainer Rafal Baranowski
Package SEMModComp. R topics documented: February 19, Type Package Title Model Comparisons for SEM Version 1.0 Date Author Roy Levy
Type Package Title Model Comparisons for SEM Version 1.0 Date 2009-02-23 Author Roy Levy Package SEMModComp Maintainer Roy Levy February 19, 2015 Conduct tests of difference in fit for
Package BNN. February 2, 2018
Type Package Package BNN February 2, 2018 Title Bayesian Neural Network for High-Dimensional Nonlinear Variable Selection Version 1.0.2 Date 2018-02-02 Depends R (>= 3.0.2) Imports mvtnorm Perform Bayesian
Package darts. February 19, 2015
Type Package Package darts February 19, 2015 Title Statistical Tools to Analyze Your Darts Game Version 1.0 Date 2011-01-17 Author Maintainer Are you aiming at the right spot in darts?
Package spcov. R topics documented: February 20, 2015
Package spcov February 20, 2015 Type Package Title Sparse Estimation of a Covariance Matrix Version 1.01 Date 2012-03-04 Author Jacob Bien and Rob Tibshirani Maintainer Jacob Bien Description
Package Grace. R topics documented: April 9, Type Package
Type Package Package Grace April 9, 2017 Title Graph-Constrained Estimation and Hypothesis Tests Version 0.5.3 Date 2017-4-8 Author Sen Zhao Maintainer Sen Zhao Description Use
Package MonoPoly. December 20, 2017
Type Package Title Functions to Fit Monotone Polynomials Version 0.3-9 Date 2017-12-20 Package MonoPoly December 20, 2017 Functions for fitting monotone polynomials to data. Detailed discussion of the
Package BGGE. August 10, 2018
Package BGGE August 10, 2018 Title Bayesian Genomic Linear Models Applied to GE Genome Selection Version 0.6.5 Date 2018-08-10 Description Application of genome prediction for a continuous variable, focused
2. The Power Method for Eigenvectors
2. Power Method We now describe the power method for computing the dominant eigenpair. Its extension to the inverse power method is practical for finding any eigenvalue provided that a good initial approximation
Package rarpack. August 29, 2016
Type Package Package rarpack August 29, 2016 Title Solvers for Large Scale Eigenvalue and SVD Problems Version 0.11-0 Date 2016-03-07 Author Yixuan Qiu, Jiali Mei and authors of the ARPACK library. See
The TEN Package. User Guide
================================================================= The TEN Package Tools for Elastic Networks User Guide Lars Ackermann, Silke A. Wieninger and G. Matthias Ullmann =================================================================
Package RcppSMC. March 18, 2018
Type Package Title Rcpp Bindings for Sequential Monte Carlo Version 0.2.1 Date 2018-03-18 Package RcppSMC March 18, 2018 Author Dirk Eddelbuettel, Adam M. Johansen and Leah F. South Maintainer Dirk Eddelbuettel
Package OUwie. August 29, 2013
Package OUwie August 29, 2013 Version 1.34 Date 2013-5-21 Title Analysis of evolutionary rates in an OU framework Author Jeremy M. Beaulieu , Brian O Meara Maintainer
Package ICGOR. January 13, 2017
Package ICGOR January 13, 2017 Type Package Title Fit Generalized Odds Rate Hazards Model with Interval Censored Data Version 2.0 Date 2017-01-12 Author Jie Zhou, Jiajia Zhang, Wenbin Lu Maintainer Jie
Package EMMIX. November 8, 2013
Title The EM Algorithm and Mixture Models Package EMMIX November 8, 2013 Description Fit multivariate mixture models via the EM Algorithm. Multivariate distributions include Normal distribution, t-distribution,
Package netcoh. May 2, 2016
Type Package Title Statistical Modeling with Network Cohesion Version 0.2 Date 2016-04-29 Author Tianxi Li, Elizaveta Levina, Ji Zhu Maintainer Tianxi Li Package netcoh May 2, 2016
Package MACAU2. R topics documented: April 8, Type Package. Title MACAU 2.0: Efficient Mixed Model Analysis of Count Data. Version 1.
Package MACAU2 April 8, 2017 Type Package Title MACAU 2.0: Efficient Mixed Model Analysis of Count Data Version 1.10 Date 2017-03-31 Author Shiquan Sun, Jiaqiang Zhu, Xiang Zhou Maintainer Shiquan Sun
7 Principal Component Analysis
7 Principal Component Analysis This topic will build a series of techniques to deal with high-dimensional data. Unlike regression problems, our goal is not to predict a value (the y-coordinate), it is
The lmm Package. May 9, Description Some improved procedures for linear mixed models
The lmm Package May 9, 2005 Version 0.3-4 Date 2005-5-9 Title Linear mixed models Author Original by Joseph L. Schafer . Maintainer Jing hua Zhao Description Some improved
Package lmm. R topics documented: March 19, Version 0.4. Date Title Linear mixed models. Author Joseph L. Schafer
Package lmm March 19, 2012 Version 0.4 Date 2012-3-19 Title Linear mixed models Author Joseph L. Schafer Maintainer Jing hua Zhao Depends R (>= 2.0.0) Description Some
Package clogitboost. R topics documented: December 21, 2015
Package December 21, 2015 Type Package Title Boosting Conditional Logit Model Version 1.1 Date 2015-12-09 Author Haolun Shi and Guosheng Yin Maintainer A set of functions to fit a boosting conditional
Package blme. August 29, 2016
Version 1.0-4 Date 2015-06-13 Title Bayesian Linear Mixed-Effects Models Author Vincent Dorie Maintainer Vincent Dorie Package blme August 29, 2016 Description Maximum a posteriori
Package lsei. October 23, 2017
Package lsei October 23, 2017 Title Solving Least Squares or Quadratic Programming Problems under Equality/Inequality Constraints Version 1.2-0 Date 2017-10-22 Description It contains functions that solve
Principal Component Analysis (PCA) Principal Component Analysis (PCA)
Recall: Eigenvectors of the Covariance Matrix Covariance matrices are symmetric. Eigenvectors are orthogonal Eigenvectors are ordered by the magnitude of eigenvalues: λ 1 λ 2 λ p {v 1, v 2,..., v n } Recall:
Package spatial.gev.bma
Type Package Package spatial.gev.bma February 20, 2015 Title Hierarchical spatial generalized extreme value (GEV) modeling with Bayesian Model Averaging (BMA) Version 1.0 Date 2014-03-11 Author Alex Lenkoski
Package multivariance
Package multivariance January 10, 2018 Title Measuring Multivariate Dependence Using Distance Multivariance Version 1.1.0 Date 2018-01-09 Distance multivariance is a measure of dependence which can be
Package Bhat. R topics documented: February 19, Title General likelihood exploration. Version
Package Bhat February 19, 2015 Title General likelihood eploration Version 0.9-10 Author Georg Luebeck and Rafael Meza Functions for MLE, MCMC, CIs (originally in
Package esaddle. R topics documented: January 9, 2017
Package esaddle January 9, 2017 Type Package Title Extended Empirical Saddlepoint Density Approximation Version 0.0.3 Date 2017-01-07 Author Matteo Fasiolo and Simon Wood Maintainer Matteo Fasiolo
Package mmm. R topics documented: February 20, Type Package
Package mmm February 20, 2015 Type Package Title an R package for analyzing multivariate longitudinal data with multivariate marginal models Version 1.4 Date 2014-01-01 Author Ozgur Asar, Ozlem Ilk Depends
(Linear equations) Applied Linear Algebra in Geoscience Using MATLAB
Applied Linear Algebra in Geoscience Using MATLAB (Linear equations) Contents Getting Started Creating Arrays Mathematical Operations with Arrays Using Script Files and Managing Data Two-Dimensional Plots
The ProbForecastGOP Package
The ProbForecastGOP Package April 24, 2006 Title Probabilistic Weather Field Forecast using the GOP method Version 1.3 Author Yulia Gel, Adrian E. Raftery, Tilmann Gneiting, Veronica J. Berrocal Description
Data Preprocessing Tasks
Data Tasks 1 2 3 Data Reduction 4 We re here. 1 Dimensionality Reduction Dimensionality reduction is a commonly used approach for generating fewer features. Typically used because too many features can
The simex Package. February 26, 2006
The simex Package February 26, 2006 Title SIMEX- and MCSIMEX-Algorithm for measurement error models Version 1.2 Author , Helmut Küchenhoff
Package sklarsomega. May 24, 2018
Type Package Package sklarsomega May 24, 2018 Title Measuring Agreement Using Sklar's Omega Coefficient Version 1.0 Date 2018-05-22 Author John Hughes Maintainer John Hughes
Package basad. November 20, 2017
Package basad November 20, 2017 Type Package Title Bayesian Variable Selection with Shrinking and Diffusing Priors Version 0.2.0 Date 2017-11-15 Author Qingyan Xiang , Naveen Narisetty
Spring 2019 Exam 2 3/27/19 Time Limit: / Problem Points Score. Total: 280
Math 307 Spring 2019 Exam 2 3/27/19 Time Limit: / Name (Print): Problem Points Score 1 15 2 20 3 35 4 30 5 10 6 20 7 20 8 20 9 20 10 20 11 10 12 10 13 10 14 10 15 10 16 10 17 10 Total: 280 Math 307 Exam
series. Utilize the methods of calculus to solve applied problems that require computational or algebraic techniques..
1 Use computational techniques and algebraic skills essential for success in an academic, personal, or workplace setting. (Computational and Algebraic Skills) MAT 203 MAT 204 MAT 205 MAT 206 Calculus I
Package dama. November 25, 2017
Package dama November 25, 2017 Title Efficient design and analysis of factorial two-colour microarray data Version 1.50.0 Date 1. October 2003 Author Jobst Landgrebe and Frank Bretz
Package GORCure. January 13, 2017
Package GORCure January 13, 2017 Type Package Title Fit Generalized Odds Rate Mixture Cure Model with Interval Censored Data Version 2.0 Date 2017-01-12 Author Jie Zhou, Jiajia Zhang, Wenbin Lu Maintainer
Package RRR. April 12, 2013
Package RRR April 12, 2013 Type Package Title Reduced Rank Regression Methods Version 1.0 Date 2013-04-12 Author Maintainer Several reduced rank methods for conducting multivariate
STATISTICAL SHAPE MODELS (SSM)
STATISTICAL SHAPE MODELS (SSM) Medical Image Analysis Serena Bonaretti serena.bonaretti@istb.unibe.ch ISTB - Institute for Surgical Technology and Biomechanics University of Bern Overview > Introduction
Package mlmmm. February 20, 2015
Package mlmmm February 20, 2015 Version 0.3-1.2 Date 2010-07-07 Title ML estimation under multivariate linear mixed models with missing values Author Recai Yucel . Maintainer Recai Yucel
eigenvalues, markov matrices, and the power method
eigenvalues, markov matrices, and the power method Slides by Olson. Some taken loosely from Jeff Jauregui, Some from Semeraro L. Olson Department of Computer Science University of Illinois at Urbana-Champaign
Package crrsc. R topics documented: February 19, 2015
Package crrsc February 19, 2015 Title Competing risks regression for Stratified and Clustered data Version 1.1 Author Bingqing Zhou and Aurelien Latouche Extension of cmprsk to Stratified and Clustered
Package PVR. February 15, 2013
Package PVR February 15, 2013 Type Package Title Computes phylogenetic eigenvectors regression (PVR) and phylogenetic signal-representation curve (PSR) (with null and Brownian expectations) Version 0.2.1
Package paramap. R topics documented: September 20, 2017
Package paramap September 20, 2017 Type Package Title paramap Version 1.4 Date 2017-09-20 Author Brian P. O'Connor Maintainer Brian P. O'Connor Depends R(>= 1.9.0), psych, polycor
DOA Estimation using MUSIC and Root MUSIC Methods
DOA Estimation using MUSIC and Root MUSIC Methods EE602 Statistical signal Processing 4/13/2009 Presented By: Chhavipreet Singh(Y515) Siddharth Sahoo(Y5827447) 2 Table of Contents 1 Introduction... 3 2
Package jmcm. November 25, 2017
Type Package Package jmcm November 25, 2017 Title Joint Mean-Covariance Models using 'Armadillo' and S4 Version 0.1.8.0 Maintainer Jianxin Pan Fit joint mean-covariance models
Package LCAextend. August 29, 2013
Type Package Package LCAextend August 29, 2013 Title Latent Class Analysis (LCA) with familial dependence in extended pedigrees Version 1.2 Date 2012-03-15 Author Arafat TAYEB ,
1 Data Arrays and Decompositions
1 Data Arrays and Decompositions 1.1 Variance Matrices and Eigenstructure Consider a p p positive definite and symmetric matrix V - a model parameter or a sample variance matrix. The eigenstructure is
14 Singular Value Decomposition
14 Singular Value Decomposition For any high-dimensional data analysis, one s first thought should often be: can I use an SVD? The singular value decomposition is an invaluable analysis tool for dealing
Package rarhsmm. March 20, 2018
Type Package Package rarhsmm March 20, 2018 Title Regularized Autoregressive Hidden Semi Markov Model Version 1.0.7 Date 2018-03-19 Author Zekun (Jack) Xu, Ye Liu Maintainer Zekun Xu
Package pfa. July 4, 2016
Type Package Package pfa July 4, 2016 Title Estimates False Discovery Proportion Under Arbitrary Covariance Dependence Version 1.1 Date 2016-06-24 Author Jianqing Fan, Tracy Ke, Sydney Li and Lucy Xia
Package mixture. R topics documented: February 13, 2018
Package mixture February 13, 2018 Type Package Title Finite Gaussian Mixture Models for Clustering and Classification Version 1.5 Date 2018-02-13 Author Ryan P. Browne, Aisha ElSherbiny and Paul D. McNicholas
Package pssm. March 1, 2017
Version 1.1 Type Package Date 2017-02-28 Package pssm March 1, 2017 Title Piecewise Exponential Model for Time to Progression and Time from Progression to Death Author David A. Schoenfeld [aut, cre] Maintainer
Package factorqr. R topics documented: February 19, 2015
Package factorqr February 19, 2015 Version 0.1-4 Date 2010-09-28 Title Bayesian quantile regression factor models Author Lane Burgette , Maintainer Lane Burgette
Package survidinri. February 20, 2015
Package survidinri February 20, 2015 Type Package Title IDI and NRI for comparing competing risk prediction models with censored survival data Version 1.1-1 Date 2013-4-8 Author Hajime Uno, Tianxi Cai
Package sscor. January 28, 2016
Type Package Package sscor January 28, 2016 Title Robust Correlation Estimation and Testing Based on Spatial Signs Version 0.2 Date 2016-01-19 Depends pcapp, robustbase, mvtnorm Provides the spatial sign
Package threeboost. February 20, 2015
Type Package Package threeboost February 20, 2015 Title Thresholded variable selection and prediction based on estimating equations Version 1.1 Date 2014-08-09 Author Julian Wolfson and Christopher Miller
1 Feature Vectors and Time Series
PCA, SVD, LSI, and Kernel PCA 1 Feature Vectors and Time Series We now consider a sample x 1,..., x of objects (not necessarily vectors) and a feature map Φ such that for any object x we have that Φ(x)
The pan Package. April 2, Title Multiple imputation for multivariate panel or clustered data
The pan Package April 2, 2005 Version 0.2-3 Date 2005-3-23 Title Multiple imputation for multivariate panel or clustered data Author Original by Joseph L. Schafer . Maintainer Jing hua
Math 1553, Introduction to Linear Algebra
Learning goals articulate what students are expected to be able to do in a course that can be measured. This course has course-level learning goals that pertain to the entire course, and section-level
Package EstACEwErrorinX
Package EstACEwErrorin November 24, 2014 Tpe Package Title Average Causal Effect (ACE) Estimation with Covariate Measurement Error Version 1.1 Date 2014-11-15 Author Andrew M. Raim, iaou Dong, Yi Huang
Package r2glmm. August 5, 2017
Type Package Package r2glmm August 5, 2017 Title Computes R Squared for Mixed (Multilevel) Models Date 2017-08-04 Version 0.1.2 The model R squared and semi-partial R squared for the linear and generalized
Package mistwosources
Type Package Package mistwosources November 4, 2016 Title Probit models with two misclassified responses Version 1.0 Date 2016-10-07 Author Scott J. Cook, Betsabe Blas, Raymond J. Carroll and Samiran Sinha
Math 304 Answers to Selected Problems
Math Answers to Selected Problems Section 6.. Find the general solution to each of the following systems. a y y + y y y + y e y y y y y + y f y y + y y y + 6y y y + y Answer: a This is a system of the
The zoeppritz Package
The zoeppritz Package October 15, 2007 Type Package Title Zoeppritz Equations Version 1.0 Date 2007-10-15 Author Jonathan M. Lees Maintainer Jonathan M. Lees
Section 1.1 Algorithms. Key terms: Algorithm definition. Example from Trapezoidal Rule Outline of corresponding algorithm Absolute Error
Section 1.1 Algorithms Key terms: Algorithm definition Example from Trapezoidal Rule Outline of corresponding algorithm Absolute Error Approximating square roots Iterative method Diagram of a general iterative
Package dhsic. R topics documented: July 27, 2017
Package dhsic July 27, 2017 Type Package Title Independence Testing via Hilbert Schmidt Independence Criterion Version 2.0 Date 2017-07-24 Author Niklas Pfister and Jonas Peters Maintainer Niklas Pfister
Package ARCensReg. September 11, 2016
Type Package Package ARCensReg September 11, 2016 Title Fitting Univariate Censored Linear Regression Model with Autoregressive Errors Version 2.1 Date 2016-09-10 Author Fernanda L. Schumacher, Victor
Package ebal. R topics documented: February 19, Type Package
Type Package Package ebal February 19, 2015 Title Entropy reweighting to create balanced samples Version 0.1-6 Date 2014-01-25 Author Maintainer Package implements entropy balancing,
Package CopulaRegression
Type Package Package CopulaRegression Title Bivariate Copula Based Regression Models Version 0.1-5 Depends R (>= 2.11.0), MASS, VineCopula Date 2014-09-04 Author, Daniel Silvestrini February 19, 2015 Maintainer
Statistical inference for Markov deterioration models of bridge conditions in the Netherlands
Statistical inference for Markov deterioration models of bridge conditions in the Netherlands M.J.Kallen & J.M. van Noortwijk HKV Consultants, Lelystad, and Delft University of Technology, Delft, Netherlands
[k,g,gfin] = hinfsyn(p,nmeas,ncon,gmin,gmax,tol)
![[k,g,gfin] = hinfsyn(p,nmeas,ncon,gmin,gmax,tol)](/thumbs/96/127783005.jpg "[k,g,gfin] = hinfsyn(p,nmeas,ncon,gmin,gmax,tol)")
8 H Controller Synthesis: hinfsyn The command syntax is k,g,gfin = hinfsyn(p,nmeas,ncon,gmin,gmax,tol) associated with the general feedback diagram below. e y P d u e G = F L (P, K) d K hinfsyn calculates
Package sindyr. September 10, 2018
Type Package Title Sparse Identification of Nonlinear Dynamics Version 0.2.1 Date 2018-09-10 Author Maintainer Rick Dale Package sindyr September 10, 2018 This implements the Brunton
CSE 554 Lecture 7: Alignment
CSE 554 Lecture 7: Alignment Fall 2012 CSE554 Alignment Slide 1 Review Fairing (smoothing) Relocating vertices to achieve a smoother appearance Method: centroid averaging Simplification Reducing vertex
Math 98 - Introduction to MATLAB Programming. Spring Lecture 3
Reminders Instructor: Chris Policastro Class Website: https://math.berkeley.edu/~cpoli/math98/fall2016.html Assignment Submission: https://bcourses.berkeley.edu Homework 2 1 Due September 8th by 11:59pm
Package SpatialNP. June 5, 2018
Type Package Package SpatialNP June 5, 2018 Title Multivariate Nonparametric Methods Based on Spatial Signs and Ranks Version 1.1-3 Date 2018-06-05 Author Seija Sirkia, Jari Miettinen, Klaus Nordhausen,
Package CEC. R topics documented: August 29, Title Cross-Entropy Clustering Version Date
Title Cross-Entropy Clustering Version 0.9.4 Date 2016-04-23 Package CEC August 29, 2016 Author Konrad Kamieniecki [aut, cre], Przemyslaw Spurek [ctb] Maintainer Konrad Kamieniecki