Package: ClusterRandSSAdj 1.0.0

Barry Eggleston

ClusterRandSSAdj: Small Sample Adjustment of Cluster Randomized Trial

A set of functions to apply 'HC3' (FIRORES) and 'HC2' (ROOT) sandwich estimators to make small-sample adjustments to standard errors of Generalized Linear Model statistics used to analyze cluster randomized trial data. The functions in the 'ClusterRandSSAdj' package make small-sample adjustments to Generalized Linear Model parameter estimates, least squares means and pair-wise comparison of least squares means, Type III tests, and estimates from linear combinations of Generalized Linear Model parameters. For more details see Ford (2017) <doi:10.1002/bimj.201600182> and Westgate (2022) <doi:10.1177/17407745211063479>.

Authors:Barry Eggleston [aut, cre], Rouba Chahine [aut], Phil Westgate [aut], Nathan Vandergrift [fnd]

ClusterRandSSAdj_1.0.0.tar.gz
ClusterRandSSAdj_1.0.0.tar.gz(r-4.7-any)ClusterRandSSAdj_1.0.0.tar.gz(r-4.6-any)
ClusterRandSSAdj_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
ClusterRandSSAdj/json (API)

# Install 'ClusterRandSSAdj' in R:

install.packages('ClusterRandSSAdj', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

cluster_rct_data - A simulated dataset, 'cluster_rct_data'

On CRAN:

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

2.70 score 7 exports 76 dependencies

Last updated from:3528f5631f. Checks:4 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	179
source / vignettes	OK	200
linux-release-x86_64	OK	171
wasm-release	OK	161

Exports:EstimateAdj Lincom_FtestAdj LSMeansAdj LSMeansPairwiseCompAdj ModelParmAdjEst SAS_Lincom_Ftest TypeIIIAdj

Dependencies:abind backports boot broom car carData cli codetools colorspace cowplot cpp11 Deriv doBy dplyr emmeans estimability farver forecast Formula fracdiff generics ggplot2 glue gtable isoband labeling lattice lifecycle lme4 lmtest magrittr MASS Matrix MatrixModels mgcv microbenchmark minqa modelr multcomp mvtnorm nlme nloptr nnet numDeriv pbkrtest pillar pkgconfig purrr quantreg R6 rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen Rdpack reformulas rlang S7 sandwich scales SparseM stringi stringr survival TH.data tibble tidyr tidyselect timeDate urca utf8 vctrs viridisLite withr zoo

Introduction

ClusterRandSSAdj | Example Use

Rendered fromIntroduction.Rmdusingknitr::rmarkdown

Last update: 2026-06-26
Started: 2026-06-26

Help page	Topics
A simulated dataset, 'cluster_rct_data'	cluster_rct_data
Small-sample adjustment for a set of linear contrasts from Generalized Linear Models used in analysis of cluster randomized trial data	EstimateAdj
Small-sample adjustment of SAS like F-tests for linear contrasts	Lincom_FtestAdj
Small-sample adjustment of least squares means from a glm used for analysis of cluster randomized trial	LSMeansAdj
Small-sample adjustment of pairwise comparisons of least squares means from a Generalized Linear Model used in analysis of cluster randomized trial data	LSMeansPairwiseCompAdj
Small-sample adjustment of Generalized Linear Model parameters used in analysis of cluster randomized trial data	ModelParmAdjEst
SAS like F-tests for linear contrasts	SAS_Lincom_Ftest
Small-sample adjustment for Type III test from Generalized Linear Models used in analysis of cluster randomized trial data	TypeIIIAdj

Package: ClusterRandSSAdj 1.0.0

ClusterRandSSAdj: Small Sample Adjustment of Cluster Randomized Trial

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)