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:
brxx_0.1.2.tar.gz
brxx_0.1.2.zip(r-4.5)brxx_0.1.2.zip(r-4.4)brxx_0.1.2.zip(r-4.3)
brxx_0.1.2.tgz(r-4.4-any)brxx_0.1.2.tgz(r-4.3-any)
brxx_0.1.2.tar.gz(r-4.5-noble)brxx_0.1.2.tar.gz(r-4.4-noble)
brxx_0.1.2.tgz(r-4.4-emscripten)brxx_0.1.2.tgz(r-4.3-emscripten)
brxx.pdf |brxx.html✨
brxx/json (API)
NEWS
| # Install 'brxx' in R: |
| install.packages('brxx', repos = c('https://joshuaraytanzer.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:d8367c273b. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 13 2024 |
| R-4.5-win | OK | Nov 13 2024 |
| R-4.5-linux | OK | Nov 13 2024 |
| R-4.4-win | OK | Nov 13 2024 |
| R-4.4-mac | OK | Nov 13 2024 |
| R-4.3-win | OK | Nov 13 2024 |
| R-4.3-mac | OK | Nov 13 2024 |
Exports:bcorbcovbomegabomega_generalbrxx_Corbrxx_Cor_generalbrxx_generalbrxx_ICCbrxx_ICC_generalprepprocessscreestandardizesummarizeunpack
Dependencies:abindbackportsbayesplotBHblavaanblmebootcallrcheckmateclicodacodetoolscolorspaceCompQuadFormdescdigestdistributionaldplyrfansifarverfuturefuture.applygenericsggplot2ggridgesglobalsglueGPArotationgridExtragtableinlineisobandlabelinglatticelavaanlifecyclelistenvlme4loomagrittrMASSMatrixMatrixModelsmatrixStatsmcmcMCMCpackmgcvminqamnormtmunsellmvtnormnlmenloptrnonnest2numDerivparallellypbivnormpillarpkgbuildpkgconfigplyrposteriorprocessxpsquadprogquantregQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelreshape2rlangrstanrstantoolssandwichscalesSparseMStanHeadersstringistringrsurvivalTeachingDemostensorAtibbletidyselecttmvnsimutf8vctrsviridisLitewithrzoo
