Package: MRStdCRT 0.1.0

Changjun Li
MRStdCRT: Model-Robust Standardization in Cluster-Randomized Trials
Implements model-robust standardization for cluster-randomized trials (CRTs). Provides functions that standardize user-specified regression models to estimate marginal treatment effects. The estimands include the cluster-average and individual-average treatment effects, with utilities for variance estimation and example simulation datasets.
Authors:
MRStdCRT_0.1.0.tar.gz
MRStdCRT_0.1.0.zip(r-4.7-any)MRStdCRT_0.1.0.zip(r-4.6-any)MRStdCRT_0.1.0.zip(r-4.5-any)
MRStdCRT_0.1.0.tgz(r-4.6-any)MRStdCRT_0.1.0.tgz(r-4.5-any)
MRStdCRT_0.1.0.tar.gz(r-4.7-any)MRStdCRT_0.1.0.tar.gz(r-4.6-any)
MRStdCRT_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
MRStdCRT/json (API)
| # Install 'MRStdCRT' in R: |
| install.packages('MRStdCRT', repos = c('https://deckardt98.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/deckardt98/mrstdcrt/issues
- data_sim_binary - Example Dataset: Simulated CRT
- data_sim_continuous - Example Dataset: Simulated CRT
- ppact - Example Dataset: PPACT
causal-inferencecluster-randomized-trialsmanuscript-coderesearch-softwarestandardization
Last updated from:cb09b28d00. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 145 | ||
| source / vignettes | OK | 198 | ||
| linux-release | NOTE | 132 | ||
| macos-release | NOTE | 201 | ||
| macos-oldrel | NOTE | 193 | ||
| windows-devel | NOTE | 92 | ||
| windows-release | NOTE | 90 | ||
| windows-oldrel | NOTE | 96 | ||
| wasm-release | OK | 109 |
Exports:MRStdCRT_fit
Dependencies:backportsbootbroomclicpp11dplyrgeepackgenericsgluelatticelifecyclelme4magrittrMASSMatrixminqanlmenloptrpillarpkgconfigpurrrR6rbibutilsRcppRcppEigenRdpackreformulasrlangstringistringrtibbletidyrtidyselectutf8vctrswithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Example Dataset: Simulated CRT (binary outcome) | data_sim_binary |
| Example Dataset: Simulated CRT (continuous outcome) | data_sim_continuous |
| Model-robust Standardization Estimators for the Cluster Randomized Trials | MRStdCRT_fit |
| Modet-robust standardization in CRT Point Estimate | MRStdCRT_point |
| Example Dataset: PPACT | ppact |
| Summarize a 'MRS_obj' Fit | summary.MRS_obj |
