Package: RPtests 0.1.5

RPtests: Goodness of Fit Tests for High-Dimensional Linear Regression Models

Performs goodness of fits tests for both high and low-dimensional linear models. It can test for a variety of model misspecifications including nonlinearity and heteroscedasticity. In addition one can test the significance of potentially large groups of variables, and also produce p-values for the significance of individual variables in high-dimensional linear regression.

Authors:Rajen Shah [aut, cre], Peter Buhlmann [aut]

RPtests_0.1.5.tar.gz
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manual.pdf |manual.html✨
card.svg |card.png
RPtests/json (API)

# Install 'RPtests' in R:
install.packages('RPtests', repos = c('https://rajenshah.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

cpp

2.08 score 2 stars 2 packages 6 scripts 331 downloads 5 exports 11 dependencies

Last updated from:6296adc362. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK114
linux-devel-x86_64OK127
source / vignettesOK170
linux-release-arm64OK117
linux-release-x86_64OK129
macos-release-arm64OK128
macos-release-x86_64OK281
macos-oldrel-arm64OK94
macos-oldrel-x86_64OK235
windows-develOK107
windows-releaseOK111
windows-oldrelOK119
wasm-releaseOK94

Exports:pvalRPtestRPtest_singlesparse_projsqrt_lasso

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixrandomForestRcppRcppEigenshapesurvival