Package: RSP 0.4

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_0.4.tar.gz
RSP_0.4.zip(r-4.5)RSP_0.4.zip(r-4.4)RSP_0.4.zip(r-4.3)
RSP_0.4.tgz(r-4.4-any)RSP_0.4.tgz(r-4.3-any)
RSP_0.4.tar.gz(r-4.5-noble)RSP_0.4.tar.gz(r-4.4-noble)
RSP_0.4.tgz(r-4.4-emscripten)RSP_0.4.tgz(r-4.3-emscripten)
RSP.pdf |RSP.html✨
RSP/json (API)

# Install 'RSP' in R:
install.packages('RSP', repos = c('https://aybekec.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

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.

2.30 score 20 scripts 287 downloads 7 exports 205 dependencies

Last updated 1 years agofrom:70456c1205. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 17 2024
R-4.5-winOKNov 17 2024
R-4.5-linuxOKNov 17 2024
R-4.4-winOKNov 17 2024
R-4.4-macOKNov 17 2024
R-4.3-winOKNov 17 2024
R-4.3-macOKNov 17 2024

Exports:CFAFAINTERNALIRTITEMANPCASIMDATA

Dependencies:abindadmiscarmaudiobackportsbase64encbeeprBHbigDbitopsbootbriobroombslibcachemcallrcarcarDatacatRcheckmatecliclustercodacodetoolscolorspacecommonmarkcorpcorcowplotcpp11crayoncrosstalkcurldata.tabledcurverdeltaPlotRDerivdescdiffobjdifRdigestdoBydplyrDTenergyevaluateexpmfansifarverfastmapfdrtoolfontawesomeforeignFormulafsfuturefuture.applygenericsggplot2glassoglobalsglueGPArotationgridExtragslgtgtablegtoolshighrHmischornpahtmlTablehtmltoolshtmlwidgetshttpuvigraphisobandjpegjquerylibjsonlitejuicyjuiceknitrkutilslabelinglaterlatticelavaanlazyevallifecyclelisrelToRlistenvlme4ltmmagrittrmarkdownMASSMatrixMatrixModelsmemoiseMetricsmgcvmimicrobenchmarkmimeminqamirtmnormtmodelrmomentsmsmmunsellMVNmvtnormnlmenloptrnnetnortestnumDerivOpenMxopenxlsxparallellypbapplypbivnormpbkrtestpermutepillarpkgbuildpkgconfigpkgloadplyrpngpolycorpraiseprocessxprogressrpromisespspsychpurrrqgraphquadprogquantregR.methodsS3R.ooR.utilsR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelreactablereactRreshape2rJavarlangrmarkdownrockchalkrpartrpfrprojrootRPushbulletrstudioapiRUnitsassscalessemsemPlotsessioninfoshinyshinyBSshinycustomloaderShinyItemAnalysisshinyjsshinythemesshinyWidgetsSimDesignsnowsourcetoolsSparseMStanHeadersstringistringrsurvivaltestthattibbletidyrtidyselecttinytexutf8V8vctrsveganviridisviridisLitewaldowithrxfunxlsxxlsxjarsXMLxml2xtableyamlzip

Introduction to RSP Package

Rendered fromINTRO_RSP.Rmdusingknitr::rmarkdownon Nov 17 2024.

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