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]

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RPtests.pdf |RPtests.html
RPtests/json (API)

# Install 'RPtests' in R:
install.packages('RPtests', repos = c('https://rajenshah.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3

On CRAN:

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

5 exports 2 stars 0.91 score 11 dependencies 2 dependents 4 scripts 346 downloads

Last updated 3 years agofrom:6296adc362. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 08 2024
R-4.5-win-x86_64NOTESep 08 2024
R-4.5-linux-x86_64NOTESep 08 2024
R-4.4-win-x86_64NOTESep 08 2024
R-4.4-mac-x86_64NOTESep 08 2024
R-4.4-mac-aarch64NOTESep 08 2024
R-4.3-win-x86_64NOTESep 08 2024
R-4.3-mac-x86_64NOTESep 08 2024
R-4.3-mac-aarch64NOTESep 08 2024

Exports:pvalRPtestRPtest_singlesparse_projsqrt_lasso

Dependencies:codetoolsforeachglmnetiteratorslatticeMatrixrandomForestRcppRcppEigenshapesurvival