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'))

Peer review:

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

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

openblascpp

1.00 score 133 downloads 1 mentions 16 exports 2 dependencies

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

TargetResultDate
Doc / VignettesOKDec 01 2024
R-4.5-linux-x86_64NOTEDec 01 2024

Exports:check_modelexample_clusteringexample_modelfastLmget_clustered_epsOLS_cone_sided_testout_pvalr_test_crestricted_OLS_crrinfrrinf_clustrrinfBaserrtestrrtest_clusttwo_sided_test

Dependencies:RcppRcppArmadillo