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Renvlp

3.4.5Package record

Computing Envelope Estimators

1packages depend
3.3Kdownloads / year
–test coverage
0/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13NOTE
Check messages
NOTERd filesr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc, r-devel-linux-x86_64-fedora-clang, r-devel-linux-x86_64-fedora-gcc, r-devel-windows-x86_64, r-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-oldrel-windows-x86_64, r-patched-linux-x86_64, r-release-linux-x86_64, r-release-macos-arm64, r-release-macos-x86_64, r-release-windows-x86_64
checkRd: (-1) testcoef.env.Rd:19: Lost braces
    19 | This function tests for hypothesis H0: L beta R = A, versus Ha: L beta R != A.  The beta is estimated by the envelope model.  If L = Ir, R = Ip and A = 0, then the test is equivalent to the standard F test on if beta = 0.  The test statistic used is vec(L beta R - A) hat{Sigma}^{-1} vec(L beta R - A)^{T}, where beta is the envelope estimator and hat{Sigma} is the estimated asymptotic covariance of vec(L beta R - A). The reference distribution is chi-squared distribution with degrees of freedom d1 * d2. 
       |                                                                                                                                                                                                                                                                                ^
checkRd: (-1) testcoef.env.Rd:19: Lost braces; missing escapes or markup?
    19 | This function tests for hypothesis H0: L beta R = A, versus Ha: L beta 
...[truncated]...
nt to the standard F test on if beta = 0.  The test statistic used is vec(L beta R - A) hat{Sigma}^{-1} vec(L beta R - A)^{T}, where beta is the envelope estimator and hat{Sigma} is the estimated asymptotic covariance of vec(L beta R - A). The reference distribution is chi-squared distribution with degrees of freedom d1 * d2. 
       |                                                                                                                                                                                                                                                                                                                                                                                   ^
checkRd: (-1) xenv.Rd:28: Lost braces; missing escapes or markup?
    28 | \item{eta}{The estimated eta.  According to the envelope parameterization, beta = Gamma * Omega^{-1} * eta.}
       |                                                                                                 ^
NOTECRAN incoming feasibilityr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Maintainer: ‘Minji Lee <minjilee101@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Minji",
                      family = "Lee",
                      role = c("aut", "cre"),
                      email = "minjilee101@gmail.com"),
               person(given = "Zhihua",
                      family = "Su",
                      role = "aut"))
as necessary.

CRAN check page ↗

Slowest check: 4.0 min · r-oldrel-windows-x86_64
Status changes
  • NOTE13 NOTENow
  • NOTE14 NOTE2026-03-10
Advisories

none known

Documentation

In release 3.4.5
READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
113includes a package overview page
Examples that run
100%101 run in a plain check
Exported functions with examples
99%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
33%

Downloads

3.3K
CRAN downloads in the past year
Rank #12,860 · ~9/day · ~277/mo
Daily download trend is not available in this view yet.
38230 days
88090 days
3.3K1 year
Compare downloads with other packages →
Also on72 r2u4 autocran

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing Renvlp adds 14 packages (6 with compiled code, 8.4 MB of source tarballs). Heaviest: pls 4.2 MB, Rcpp 1.8 MB, RcppArmadillo 1.0 MB.

Depends (1)
R >= 3.5.0
LinkingTo (0)
none
Suggests (1)
MASS
Enhances (0)
none
Reverse dependencies
1direct
0indirect
Imports 1
Depends, Imports or LinkingTo, most downloaded first

Datasets

People & History

People (from the free-text Author field) (2)

Maintainer since 2.5 (2018)

Releases (12)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 3.4.5Latest
    record
    2023-10-10 · current release · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 3.4
    record
    2023-04-19 · diff ↗
  • 3.3
    record
    2023-01-07 · diff ↗ ·
    removed 1 export
    d.stenv
    added 30 exports
    boot.env.apweights, boot.env.tcond, boot.rrenv.apweights, boot.rrenv, boot.eppls, cv.env.apweights, cv.env.tcond, cv.rrenv.apweights, cv.rrenv, cv.eppls, d.select, env.apweights, env.tcond, rrenv.apweights, rrenv, eppls, pred.env.apweights, pred.env.tcond, pred.rrenv.apweights, pred.rrenv, pred.eppls, testcoef.env.apweights, testcoef.env.tcond, testcoef.rrenv.apweights, testcoef.rrenv, u.env.apweights, u.env.tcond, u.rrenv.apweights, u.rrenv, u.eppls
  • 3.2
    record
    2022-08-07 · diff ↗ ·
    added 7 exports
    d.stenv, felmdir, felmKL, pred.felmdir, pred.felmKL, u.felmdir, u.felmKL
  • 3.1
    record
    2022-05-13 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 3.0
    record
    2021-09-11 · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • 2.9
    record
    2020-11-15 · diff ↗ ·
    removed 1 export
    pattern:^[[:alpha:]]+
    added 66 exports
    boot.env, boot.genv, boot.henv, boot.logit.env, boot.penv, boot.pois.env, boot.senv, boot.stenv, boot.sxenv, boot.xenv, cv.env, cv.genv, cv.henv, cv.logit.env, cv.penv, cv.pois.env, cv.senv, cv.stenv, cv.sxenv, cv.xenv, env, genv, henv, logit.env, penv, pois.env, pred.env, pred.genv, pred.henv, pred.logit.env and 36 more
  • R
    R 4.0.0 released · 2020-04-24
  • 2.8
    record
    2020-03-16 · diff ↗
  • 2.7
    record
    2019-07-23 · diff ↗
Show 6 earlier eventsHide 6 earlier events
  • R
    R 3.6.0 released · 2019-04-26
  • 2.6.5
    record
    2019-02-27 · diff ↗
  • 2.6
    record
    2019-02-19 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 2.5
    record
    2018-01-18
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2018-01-18
Total releases
12 / 8 yrs
License
GPL-2 OSI
Minimum R
≥ 3.5.0
Bundled data
34 KB / 10 files
Download size
131 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("Renvlp")

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for Renvlp version 3.4.5 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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