This package is considered a duplicate. The official version of this package is found at:https://aybekec.r-universe.dev/RSP

Package: RSP 0.5

Eren Can Aybek

RSP: 'shiny' Applications for Statistical and Psychometric Analysis

Toolbox with 'shiny' applications for widely used psychometric methods. Those methods include following analysis: Item analysis, item response theory calibration, principal component analysis, confirmatory factor analysis - structural equation modeling, generating simulated data. References: Chalmers (2012, <doi:10.18637/jss.v048.i06>); Revelle (2022, <https://CRAN.R-project.org/package=psych Version = 2.2.9.>); Rosseel (2012, <doi:10.18637/jss.v048.i02>); Magis & Raiche (2012, <doi:10.18637/jss.v048.i08>); Magis & Barrada (2017, <doi:10.18637/jss.v076.c01>).

Authors:Celal Deha Dogan [aut], Eren Can Aybek [aut, cre], Sumeyra Soysal [ctb]

RSP_0.5.tar.gz
RSP_0.5.tar.gz(r-4.7-any)RSP_0.5.tar.gz(r-4.6-any)
RSP_0.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RSP/json (API)

# Install 'RSP' in R:

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

Uses libs:

openjdk– OpenJDK Java runtime, using Hotspot JIT

On CRAN:

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

openjdk

2.28 score 19 scripts 272 downloads 7 exports 256 dependencies

Last updated from:285f16de1f. Checks:4 OK. Indexed: no.

Target	Result	Time
linux-devel-x86_64	OK	312
source / vignettes	OK	387
linux-release-x86_64	OK	313
wasm-release	OK	220

Exports:CFA FA INTERNAL IRT ITEMAN PCA SIMDATA

Dependencies:abind admisc arm askpass audio backports base64enc beepr BH bigD bit bit64 bitops boot brio broom bslib cachem callr car carData catR cellranger checkmate class cli clipr cluster coda codetools colorspace commonmark corpcor cowplot cpp11 crayon crosstalk curl data.table dcurver deltaPlotR Deriv desc DescTools diffobj difR digest doBy dplyr DT e1071 energy evaluate Exact expm farver fastmap fdrtool fontawesome forcats foreach forecast foreign Formula fracdiff fs future future.apply generics ggplot2 glasso gld glmnet globals glue GPArotation gridExtra gsl gt gtable gtools haven highr Hmisc hms hornpa htmlTable htmltools htmlwidgets httpuv httr igraph isoband iterators jomo jpeg jquerylib jsonlite juicyjuice knitr kutils labeling later lattice lavaan lazyeval lifecycle lisrelToR listenv litedown lme4 lmom lmtest ltm magrittr markdown MASS Matrix MatrixModels memoise Metrics mgcv mi mice microbenchmark mime minqa mirai mirt mitml mnormt modelr moments msm MVN mvtnorm nanonext nlme nloptr nnet nortest numDeriv OpenMx openssl openxlsx ordinal otel pan parallelly pbapply pbivnorm pbkrtest permute pillar pkgbuild pkgconfig pkgload plotly plyr png polycor praise prettyunits processx progress progressr promises proxy ps psych purrr qgraph qs2 quadprog quantreg R.methodsS3 R.oo R.utils R6 rappdirs rbibutils RColorBrewer Rcpp RcppArmadillo RcppEigen RcppParallel Rdpack reactable reactR readr readxl reformulas rematch reshape2 rJava rlang rmarkdown rockchalk rootSolve rpart rpf rprojroot rstudioapi RUnit S7 sass scales sem semPlot sessioninfo shape shiny shinyBS shinycustomloader ShinyItemAnalysis shinyjs shinythemes shinyWidgets SimDesign sourcetools SparseM splines2 StanHeaders stringfish stringi stringr survival sys testthat tibble tidyr tidyselect timeDate tinytex tzdb ucminf urca utf8 V8 vctrs vegan VGAM viridis viridisLite vroom waldo withr xfun xlsx xlsxjars XML xml2 xtable yaml zip zoo

Introduction to RSP Package

Rendered fromINTRO_RSP.Rmdusingknitr::rmarkdownon May 21 2026.

Last update: 2023-01-17
Started: 2023-01-17

Help page	Topics
Testing measurement & structural models for dichotomous and polytomous data	CFA
Run exploratory factor analysis for dichotomous and polytomous data	FA
Run exploratory factor analysis for dichotomous and polytomous data	INTERNAL
Item calibration according to item response theory models	IRT
Item and test statistics based on classical test theory,	ITEMAN
Run principal component analysis for dichotomous and polytomous data	PCA
Generate simulated data according to IRT for dichotomous and polytomous data Generate multidimensional data for factor analysis # param options(java.parameters = "-Xmx8000m")	SIMDATA

Package: RSP 0.5

RSP: 'shiny' Applications for Statistical and Psychometric Analysis

Introduction to RSP Package

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)