Package: Renvlp 3.4.5

Minji Lee

Renvlp: Computing Envelope Estimators

Provides a general routine, envMU, which allows estimation of the M envelope of span(U) given root n consistent estimators of M and U. The routine envMU does not presume a model. This package implements response envelopes, partial response envelopes, envelopes in the predictor space, heteroscedastic envelopes, simultaneous envelopes, scaled response envelopes, scaled envelopes in the predictor space, groupwise envelopes, weighted envelopes, envelopes in logistic regression, envelopes in Poisson regression envelopes in function-on-function linear regression, envelope-based Partial Partial Least Squares, envelopes with non-constant error covariance, envelopes with t-distributed errors, reduced rank envelopes and reduced rank envelopes with non-constant error covariance. For each of these model-based routines the package provides inference tools including bootstrap, cross validation, estimation and prediction, hypothesis testing on coefficients are included except for weighted envelopes. Tools for selection of dimension include AIC, BIC and likelihood ratio testing. Background is available at Cook, R. D., Forzani, L. and Su, Z. (2016) <doi:10.1016/j.jmva.2016.05.006>. Optimization is based on a clockwise coordinate descent algorithm.

Authors:Minji Lee, Zhihua Su

Renvlp_3.4.5.tar.gz
Renvlp_3.4.5.tar.gz(r-4.5-noble)Renvlp_3.4.5.tar.gz(r-4.4-noble)
Renvlp_3.4.5.tgz(r-4.4-emscripten)Renvlp_3.4.5.tgz(r-4.3-emscripten)
Renvlp.pdf |Renvlp.html✨
Renvlp/json (API)

# Install 'Renvlp' in R:

install.packages('Renvlp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

Berkeley - Berkeley Guidance Study Data
NJdata - New Jersey Open Covid-19 Dataset
amitriptyline - Amitriptyline Data
concrete - Concrete Slump Test Dataset
fiberpaper - Pulp and Paper Data
horseshoecrab - Horseshoe Crab Data
sales - Sales staff Data
vehicles - Automobile Dataset
waterstrider - Water strider data
wheatprotein - Wheat Protein Data

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

102 exports 0.00 score 7 dependencies 93 scripts 393 downloads

Last updated 11 months agofrom:6fe7c0178f. Checks:OK: 1 NOTE: 1. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 12 2024
R-4.5-linux	NOTE	Sep 12 2024

Exports:boot.env boot.env.apweights boot.env.tcond boot.eppls boot.genv boot.henv boot.logit.env boot.penv boot.pois.env boot.rrenv boot.rrenv.apweights boot.senv boot.stenv boot.sxenv boot.xenv cv.env cv.env.apweights cv.env.tcond cv.eppls cv.genv cv.henv cv.logit.env cv.penv cv.pois.env cv.rrenv cv.rrenv.apweights cv.senv cv.stenv cv.sxenv cv.xenv d.select env env.apweights env.tcond eppls felmdir felmKL genv henv logit.env penv pois.env pred.env pred.env.apweights pred.env.tcond pred.eppls pred.felmdir pred.felmKL pred.genv pred.henv pred.logit.env pred.penv pred.pois.env pred.rrenv pred.rrenv.apweights pred.senv pred.stenv pred.sxenv pred.xenv pred2.env rrenv rrenv.apweights senv stenv sxenv testcoef.env testcoef.env.apweights testcoef.env.tcond testcoef.genv testcoef.henv testcoef.logit.env testcoef.penv testcoef.pois.env testcoef.rrenv testcoef.rrenv.apweights testcoef.senv testcoef.stenv testcoef.sxenv testcoef.xenv u.env u.env.apweights u.env.tcond u.eppls u.felmdir u.felmKL u.genv u.henv u.logit.env u.penv u.pois.env u.pred2.env u.rrenv u.rrenv.apweights u.senv u.stenv u.sxenv u.xenv weighted.env weighted.penv weighted.pred.env weighted.xenv xenv

Dependencies:lattice Matrix matrixcalc orthogonalsplinebasis pls Rsolnp truncnorm

Help page	Topics
Computing Envelope Estimators	Renvlp-package
Amitriptyline Data	amitriptyline
Berkeley Guidance Study Data	Berkeley
Bootstrap for env	boot.env
Bootstrap for env.apweights	boot.env.apweights
Bootstrap for env.tcond	boot.env.tcond
Bootstrap for eppls	boot.eppls
Bootstrap for genv	boot.genv
Bootstrap for henv	boot.henv
Bootstrap for logit.env	boot.logit.env
Bootstrap for penv	boot.penv
Bootstrap for pois.env	boot.pois.env
Bootstrap for rrenv	boot.rrenv
Bootstrap for rrenv.apweights	boot.rrenv.apweights
Bootstrap for senv	boot.senv
Bootstrap for stenv	boot.stenv
Bootstrap for sxenv	boot.sxenv
Bootstrap for xenv	boot.xenv
Concrete Slump Test Dataset	concrete
Cross validation for env	cv.env
Cross validation for env.apweights	cv.env.apweights
Cross validation for env.tcond	cv.env.tcond
Cross validation for peplos	cv.eppls
Cross validation for genv	cv.genv
Cross validation for henv	cv.henv
Cross validation for logit.env	cv.logit.env
Cross validation for penv	cv.penv
Cross validation for pois.env	cv.pois.env
Cross validation for rrenv	cv.rrenv
Cross validation for rrenv.apweights	cv.rrenv.apweights
Cross validation for senv	cv.senv
Cross validation for stenv	cv.stenv
Cross validation for sxenv	cv.sxenv
Cross validation for xenv	cv.xenv
Select the rank of beta	d.select
Fit the response envelope model	env
Fit the envelope model with nonconstant variance	env.apweights
Fit the envelope model with t-distributed errors	env.tcond
Fit the Envelope-based Partial Partial Least Squares model	eppls
Fit the functional envelope linear model	felmdir
Fit the functional envelope linear model	felmKL
Pulp and Paper Data	fiberpaper
Fit the groupwise envelope model	genv
Fit the heteroscedastic envelope model	henv
Horseshoe Crab Data	horseshoecrab
Fit the envelope model in logistic regression	logit.env
New Jersey Open Covid-19 Dataset	NJdata
Fit the partial envelope model	penv
Fit the envelope model in poisson regression	pois.env
Estimation or prediction for env	pred.env
Estimation or prediction for env.apweights	pred.env.apweights
Estimation or prediction for env.tcond	pred.env.tcond
Estimation or prediction for eppls	pred.eppls
Estimation or prediction for felmdir	pred.felmdir
Estimation or prediction for felmKL	pred.felmKL
Estimation or prediction for genv	pred.genv
Estimation or prediction for henv	pred.henv
Estimation or prediction for logit.env	pred.logit.env
Estimation or prediction for penv	pred.penv
Estimation or prediction for pois.env	pred.pois.env
Estimation or prediction for rrenv	pred.rrenv
Estimation or prediction for rrenv.apweights	pred.rrenv.apweights
Estimation or prediction for senv	pred.senv
Estimation or prediction for stenv	pred.stenv
Estimation or prediction for sxenv	pred.sxenv
Estimation or prediction for xenv	pred.xenv
Estimation or prediction for env	pred2.env
Fit the reduced-rank envelope model	rrenv
Fit the reduced-rank envelope model with nonconstant variance	rrenv.apweights
Sales staff Data	sales
Fit the scaled response envelope model	senv
Fit the simultaneous envelope model	stenv
Fit the scaled predictor envelope model	sxenv
Hypothesis test of the coefficients of the response envelope model	testcoef.env
Hypothesis test of the coefficients of the response envelope model with nonconstant variance	testcoef.env.apweights
Hypothesis test of the coefficients of the response envelope model with t-distributed errors	testcoef.env.tcond
Hypothesis test of the coefficients of the groupwise envelope model	testcoef.genv
Hypothesis test of the coefficients of the heteroscedastic envelope model	testcoef.henv
Hypothesis test of the coefficients of the envelope model	testcoef.logit.env
Hypothesis test of the coefficients of the partial envelope model	testcoef.penv
Hypothesis test of the coefficients of the envelope model	testcoef.pois.env
Hypothesis test of the coefficients of the reduced rank envelope model	testcoef.rrenv
Hypothesis test of the coefficients of the reduced rank envelope model with nonconstant error variance	testcoef.rrenv.apweights
Hypothesis test of the coefficients of the scaled response envelope model	testcoef.senv
Hypothesis test of the coefficients of the simultaneous envelope model	testcoef.stenv
Hypothesis test of the coefficients of the scaled predictor envelope model	testcoef.sxenv
Hypothesis test of the coefficients of the predictor envelope model	testcoef.xenv
Select the dimension of env	u.env
Select the dimension of env.apweights	u.env.apweights
Select the dimension of env.tcond	u.env.tcond
Select the dimension of eppls	u.eppls
Find the envelope dimensions in the functional envelope linear model	u.felmdir
Find the envelope dimensions in the functional envelope linear model	u.felmKL
Select the dimension of genv	u.genv
Select the dimension of henv	u.henv
Select the dimension of logit.env	u.logit.env
Select the dimension of penv	u.penv
Select the dimension of pois.env	u.pois.env
Select the dimension of the constructed partial envelope for prediction based on envelope model	u.pred2.env
Select the dimension of rrenv	u.rrenv
Select the dimension of rrenv.apweights	u.rrenv.apweights
Select the dimension of senv	u.senv
Select the dimension of stenv	u.stenv
Select the dimension of sxenv	u.sxenv
Select the dimension of xenv	u.xenv
Automobile Dataset	vehicles
Water strider data	waterstrider
Weighted response envelope estimator	weighted.env
Weighted partial envelope estimator	weighted.penv
Estimation or prediction using weighted partial envelope	weighted.pred.env
Weighted predictor envelope estimator	weighted.xenv
Wheat Protein Data	wheatprotein
Fit the predictor envelope model	xenv

Package: Renvlp 3.4.5

Renvlp: Computing Envelope Estimators

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