Package: RRI 1.1

Panos Toulis

RRI: Residual Randomization Inference for Regression Models

Testing and inference for regression models using residual randomization methods. The basis of inference is an invariance assumption on the regression errors, e.g., clustered errors, or doubly-clustered errors.

Authors:Panos Toulis

RRI_1.1.tar.gz
RRI_1.1.zip(r-4.7-x86_64)RRI_1.1.zip(r-4.7-arm64)RRI_1.1.zip(r-4.6-x86_64)RRI_1.1.zip(r-4.6-arm64)
RRI_1.1.tar.gz(r-4.7-arm64)RRI_1.1.tar.gz(r-4.7-x86_64)RRI_1.1.tar.gz(r-4.6-arm64)RRI_1.1.tar.gz(r-4.6-x86_64)
RRI_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RRI/json (API)

# Install 'RRI' in R:
install.packages('RRI', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • 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.

openblascpp

1.00 score 229 downloads 1 mentions 16 exports 2 dependencies

Last updated from:8986bd63ce. Checks:8 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE90
linux-devel-x86_64NOTE151
source / vignettesOK173
linux-release-arm64NOTE87
linux-release-x86_64NOTE111
windows-devel-arm64NOTE210
windows-devel-x86_64NOTE131
windows-release-arm64NOTE204
windows-release-x86_64NOTE103
wasm-releaseOK105

Exports:check_modelexample_clusteringexample_modelfastLmget_clustered_epsOLS_cone_sided_testout_pvalr_test_crestricted_OLS_crrinfrrinf_clustrrinfBaserrtestrrtest_clusttwo_sided_test

Dependencies:RcppRcppArmadillo