Package: bin2norm 0.1.1
bin2norm: Hierarchical Probit Estimation for Dichotomized Data
Provides likelihood-based and hierarchical estimation methods for thresholded (binomial-probit) data. Supports fixed-mean and random-mean models with maximum likelihood estimation (MLE), generalized linear mixed model (GLMM), and Bayesian Markov chain Monte Carlo (MCMC) implementations. For methodological background, see Albert and Chib (1993) <doi:10.1080/01621459.1993.10476321> and McCulloch (1994) <doi:10.2307/2297959>.
Authors:
bin2norm_0.1.1.tar.gz
bin2norm_0.1.1.zip(r-4.7)bin2norm_0.1.1.zip(r-4.6)bin2norm_0.1.1.zip(r-4.5)
bin2norm_0.1.1.tgz(r-4.6-any)bin2norm_0.1.1.tgz(r-4.5-any)
bin2norm_0.1.1.tar.gz(r-4.7-any)bin2norm_0.1.1.tar.gz(r-4.6-any)
bin2norm_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bin2norm/json (API)
| # Install 'bin2norm' in R: |
| install.packages('bin2norm', repos = c('https://ubcxzhang.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 from:0084526c4f. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 222 | ||
| source / vignettes | OK | 202 | ||
| linux-release-x86_64 | OK | 232 | ||
| macos-release-arm64 | OK | 172 | ||
| macos-oldrel-arm64 | OK | 199 | ||
| windows-devel | OK | 176 | ||
| windows-release | OK | 178 | ||
| windows-oldrel | OK | 198 | ||
| wasm-release | OK | 131 |
Exports:bin2normestimate_initial_values_from_dataestimate_multiThresh_GLMMestimate_multiThresh_MCMCestimate_multiThresh_MLEestimate_singleThresh_MLEestimate_singleThresh_probitestimate_singleThresh_WOLSgaussHermite
Dependencies:abindbackportsBHbootcallrcheckmateclicpp11descdistributionalfarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglatticelifecyclelme4loomagrittrMASSMatrixmatrixStatsminqanlmenloptrnumDerivpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6rbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackreformulasrlangrstanS7scalesStanHeadersstatmodtensorAtibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| bin2norm: A user-friendly interface to estimate normal distribution parameters from dichotomized data | bin2norm |
| Get initial values from data | estimate_initial_values_from_data |
| GLMM (Multiple Thresholds per Study, Probit Link, Random Intercepts) | estimate_multiThresh_GLMM |
| Bayesian MCMC (Multiple Thresholds per Study) using rstan | estimate_multiThresh_MCMC |
| MLE with Numeric Integration (Multiple Thresholds per Study) | estimate_multiThresh_MLE |
| MLE (Single Threshold per Study) | estimate_singleThresh_MLE |
| GLM probit (Single Threshold per Study) | estimate_singleThresh_probit |
| Weighted OLS (Initial value in Single Threshold per Study MLE) | estimate_singleThresh_WOLS |
| Minimal Gauss-Hermite Quadrature | gaussHermite |
