Package: pss 0.0.0.9000
pss: Propensity Score Sampling for quasi-experimental studies with an external comparison group
IN DEVELOPMENT! Propensity score sampling is a method for finding a matched comparison group in a quasi-experimental study where an 'external' comparison cohort is being used. By 'external', we mean a cohort for which the intervention is not available to anyone (for example, a different time or region from the treatment group).
Authors:
pss_0.0.0.9000.tar.gz
pss_0.0.0.9000.zip(r-4.7-any)pss_0.0.0.9000.zip(r-4.6-any)pss_0.0.0.9000.zip(r-4.5-any)
pss_0.0.0.9000.tgz(r-4.6-any)pss_0.0.0.9000.tgz(r-4.5-any)
pss_0.0.0.9000.tar.gz(r-4.7-any)pss_0.0.0.9000.tar.gz(r-4.6-any)
pss_0.0.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
pss/json (API)
| # Install 'pss' in R: |
| install.packages('pss', repos = c('https://racheloughton.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/racheloughton/pss/issues
- eg_data - Example forensic marking study data
Last updated from:ddf4ecb27a. Checks:7 WARNING, 1 ERROR, 1 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | WARNING | 546 | ||
| source / vignettes | ERROR | 209 | ||
| linux-release | WARNING | 133 | ||
| macos-release | WARNING | 101 | ||
| macos-oldrel | WARNING | 133 | ||
| windows-devel | WARNING | 100 | ||
| windows-release | WARNING | 89 | ||
| windows-oldrel | WARNING | 106 | ||
| wasm-release | OK | 93 |
Exports:.props_funcandidatesdropped_dfexpand_matched_dfmatched_sampleplot_smdpropscorespss_check_datapz1_estimatepz1_expectedNpz1_rescale
Dependencies:briocallrclicpp11crayondescdiffobjdplyrevaluatefarverfsgenericsggplot2gluegtableisobandjsonlitelabelinglifecyclemagrittrMASSotelpillarpkgbuildpkgconfigpkgloadpraiseprocessxpspurrrR6RColorBrewerrlangrprojrootS7scalessmdstringistringrtestthattibbletidyrtidyselectutf8vctrsviridisLitewaldowithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Create a summary table for a vector of seeds | candidates |
| Display the treatment cases that will be dropped under a particular matched sample | dropped_df |
| Example forensic marking study data | eg_data |
| Expand a matched comparison data frame | expand_matched_df |
| Form a matched sample | matched_sample |
| Plots standardised mean difference (SMD) for each covariate and interaction in a 'candidates()' data frame. If a threshold value for the SMD is given (via 'smd_thresh') then the output for those seeds with any SMD value exceeding the threshold are greyed, and a message is generated listing the successful seeds. | plot_smd |
| Propensity score data frame | .props_fun propscores pz1_estimate pz1_expectedN pz1_rescale |
| Check data | pss_check_data |