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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:8986bd63ce. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 01 2024 |
R-4.5-linux-x86_64 | NOTE | Dec 01 2024 |
Exports:check_modelexample_clusteringexample_modelfastLmget_clustered_epsOLS_cone_sided_testout_pvalr_test_crestricted_OLS_crrinfrrinf_clustrrinfBaserrtestrrtest_clusttwo_sided_test
Dependencies:RcppRcppArmadillo