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.tar.gz(r-4.5-noble)RRI_1.1.tar.gz(r-4.4-noble)
RRI_1.1.tgz(r-4.4-emscripten)RRI_1.1.tgz(r-4.3-emscripten)
RRI.pdf |RRI.html✨
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 165 downloads 1 mentions 16 exports 2 dependencies

Last updated 5 years agofrom:8986bd63ce. Checks:1 OK, 1 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 01 2025
R-4.5-linux-x86_64NOTEMar 01 2025

Exports:check_modelexample_clusteringexample_modelfastLmget_clustered_epsOLS_cone_sided_testout_pvalr_test_crestricted_OLS_crrinfrrinf_clustrrinfBaserrtestrrtest_clusttwo_sided_test

Dependencies:RcppRcppArmadillo