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)brxx_0.1.2.zip(r-4.6)brxx_0.1.2.zip(r-4.5)
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✨
card.svg |card.png
brxx/json (API)
NEWS

# Install 'brxx' in R:

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

On CRAN:

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

1.70 score 242 downloads 15 exports 97 dependencies

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

Target	Result	Time
linux-devel-x86_64	OK	253
source / vignettes	OK	221
linux-release-x86_64	OK	275
macos-release-arm64	OK	302
macos-oldrel-arm64	OK	252
windows-devel	OK	219
windows-release	OK	208
windows-oldrel	OK	241
wasm-release	OK	145

Exports:bcor bcov bomega bomega_general brxx_Cor brxx_Cor_general brxx_general brxx_ICC brxx_ICC_general prep process scree standardize summarize unpack

Dependencies:abind backports bayesplot BH blavaan blme boot callr checkmate cli coda codetools CompQuadForm cpp11 desc digest distributional dplyr farver future future.apply generics ggplot2 ggridges globals glue GPArotation gridExtra gtable igraph inline isoband labeling lattice lavaan lifecycle listenv lme4 loo magrittr MASS Matrix MatrixModels matrixStats mcmc MCMCpack minqa mnormt mvtnorm nlme nloptr nonnest2 numDeriv parallelly pbivnorm pillar pkgbuild pkgconfig plyr posterior processx ps purrr quadprog quantreg QuickJSR R6 rbibutils RColorBrewer Rcpp RcppEigen RcppParallel Rdpack reformulas reshape2 rlang rstan rstantools S7 sandwich scales SparseM StanHeaders stringi stringr survival TeachingDemos tensorA tibble tidyr tidyselect tmvnsim utf8 vctrs viridisLite withr zoo

Help page	Topics
bcor: Bayesian Estimation of The Correlation Matrix	bcor
bcov: Bayesian Estimation of the Variance Covariance Matrix	bcov
bomega: Bayesian Estimation of Coefficient Omega	bomega
bomega_general: Bayesian Estimation of Coefficient Omega, General Form	bomega_general
brxx_Cor: Bayesian Estimation of Reliability from Correlation	brxx_Cor
brxx_Cor_general: Bayesian Estimation of Reliability from Correlation, General Form	brxx_Cor_general
brxx_general: Bayesian Estimation of Reliability from Variance Estimates	brxx_general
brxx_ICC: Bayesian Estimation of Reliability from ICC	brxx_ICC
brxx_ICC_general: Bayesian Estimation of Reliability from ICC, General Form	brxx_ICC_general
prep: Prepare Data File for Bayesian Analysis	prep
process: rotates and calulates reliability for Stan output	process
scree: Scree Plot with Pairwise Complete Cases	scree
standardize: Standardization of Data Matrix	standardize
summarize: Summarize Stan output as median, SD, and HPD quantiles	summarize
unpack: Unpack Stan output for factor analysis samples from Stan	unpack

Package: brxx 0.1.2

brxx: Bayesian Test Reliability Estimation

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