Package: flps 1.1.0

Sooyong Lee

flps: Fully-Latent Principal Stratification

Simulation and analysis of Fully-Latent Principal Stratification (FLPS) with measurement models. Lee, Adam, Kang, & Whittaker (2023). <doi:10.1007/978-3-031-27781-8_25>. This package is supported by the Institute of Education Sciences, U.S. Department of Education, through Grant R305D210036.

Authors:Sooyong Lee [aut, cre], Adam Sales [aut], Hyeon-Ah Kang [aut], Tiffany Whittaker [aut]

flps_1.1.0.tar.gz
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flps_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
flps/json (API)

# Install 'flps' in R:

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

Bug tracker:https://github.com/sooyongl/flps/issues

Pkgdown/docs site:https://sooyongl.github.io

Datasets:

binary - Binary.rda
continuous - Continuous.rda
example0 - Example0.rda
example1 - Example1.rda
example2 - Example2.rda
example3 - Example3.rda
graded - Graded.rda

On CRAN:

4.30 score 2 stars 20 scripts 633 downloads 6 exports 99 dependencies

Last updated from:a7f9e95e71. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	279
source / vignettes	OK	286
linux-release-x86_64	OK	285
macos-release-arm64	OK	157
macos-oldrel-arm64	OK	156
windows-devel	OK	291
windows-release	OK	277
windows-oldrel	OK	294
wasm-release	OK	162

Exports:flps_plot importModel makeInpData makeSimData modelBuilder runFLPS

Dependencies:abind audio backports beepr BH brio callr checkmate class cli clipr cluster codetools cpp11 crayon dcurver Deriv desc diffobj digest distributional dplyr e1071 evaluate farver fs future future.apply generics ggplot2 globals glue GPArotation gridExtra gtable inline isoband jsonlite labeling lattice lifecycle listenv loo magrittr MASS Matrix matrixStats mgcv mirai mirt mvtnorm nanonext nlme numDeriv otel parallelly pbapply permute pillar pkgbuild pkgconfig pkgload posterior praise processx progressr proxy ps qs2 QuickJSR R.methodsS3 R.oo R.utils R6 RColorBrewer Rcpp RcppArmadillo RcppEigen RcppParallel rlang rprojroot rstan S7 scales sessioninfo SimDesign splines2 StanHeaders stringfish tensorA testthat tibble tidyselect utf8 vctrs vegan viridisLite waldo withr

flps

Fully Latent Principal Stratification (FLPS)^[Acknowledgements. This package is supported by the Institute of Education Sciences, U.S. Department of Education, through Grant R305D210036.] | Installation | Example Usage | Data Generation and Preprocessing | Model Fitting with FLPS | Results

Rendered fromflps.Rmdusingknitr::rmarkdown

Last update: 2023-10-16
Started: 2023-04-03

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Fully latent principal stratification	flps-package flps
binary.rda	binary
continuous.rda	continuous
example0.rda	example0
example1.rda	example1
example2.rda	example2
example3.rda	example3
Make plots related to FLPS models	flps_plot
graded.rda	graded
Import compiled Stan object	importModel
Generate a matrix style data for simulation	makeInpData
Generate Fully Latent Principal Stratification data for simulation	makeSimData
Generate compiled Stan object to facilitate the analysis	modelBuilder
Plot	plot.flps
Print results	print.flps
Print summary of results	print.summary.flps
Conduct fully latent principal stratification	runFLPS
Summarize the results	summary.flps