Package: brxx 0.1.2

brxx: Bayesian Test Reliability Estimation

When samples contain missing data, are small, or are suspected of bias, estimation of scale reliability may not be trustworthy. A recommended solution for this common problem has been Bayesian model estimation. Bayesian methods rely on user specified information from historical data or researcher intuition to more accurately estimate the parameters. This package provides a user friendly interface for estimating test reliability. Here, reliability is modeled as a beta distributed random variable with shape parameters alpha=true score variance and beta=error variance (Tanzer & Harlow, 2020) <doi:10.1080/00273171.2020.1854082>.

Authors:Joshua Ray Tanzer

brxx_0.1.2.tar.gz
brxx_0.1.2.zip(r-4.7-any)brxx_0.1.2.zip(r-4.6-any)brxx_0.1.2.zip(r-4.5-any)
brxx_0.1.2.tgz(r-4.6-any)brxx_0.1.2.tgz(r-4.5-any)
brxx_0.1.2.tar.gz(r-4.7-any)brxx_0.1.2.tar.gz(r-4.6-any)
brxx_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
brxx/json (API)

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

On CRAN:

Conda:

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

1.70 score 282 downloads 15 exports 99 dependencies

Last updated from:d8367c273b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK232
source / vignettesOK242
linux-releaseOK288
macos-releaseOK201
macos-oldrelOK273
windows-develOK174
windows-releaseOK192
windows-oldrelOK162
wasm-releaseOK167

Exports:bcorbcovbomegabomega_generalbrxx_Corbrxx_Cor_generalbrxx_generalbrxx_ICCbrxx_ICC_generalprepprocessscreestandardizesummarizeunpack

Dependencies:abindbackportsbayesplotBHblavaanblmebootcallrcheckmateclicodacodetoolsCompQuadFormcpp11descdigestdistributionaldplyrfarverfuturefuture.applygenericsggdistggplot2ggridgesglobalsglueGPArotationgridExtragtableigraphinlineisobandlabelinglatticelavaanlifecyclelistenvlme4loomagrittrMASSMatrixMatrixModelsmatrixStatsmcmcMCMCpackminqamnormtmvtnormnlmenloptrnonnest2numDerivotelparallellypbivnormpillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrquadprogquantregQuickJSRR6rbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackreformulasreshape2rlangrstanrstantoolsS7sandwichscalesSparseMStanHeadersstringistringrsurvivalTeachingDemostensorAtibbletidyrtidyselecttmvnsimutf8vctrsviridisLitewithrzoo