Package: randomLCA 1.1-4
Ken Beath
randomLCA: Random Effects Latent Class Analysis
Fits standard and random effects latent class models. The single level random effects model is described in Qu et al <doi:10.2307/2533043> and the two level random effects model in Beath and Heller <doi:10.1177/1471082X0800900302>. Examples are given for their use in diagnostic testing.
Authors:
randomLCA_1.1-4.tar.gz
randomLCA_1.1-4.tar.gz(r-4.5-noble)randomLCA_1.1-4.tar.gz(r-4.4-noble)
randomLCA_1.1-4.tgz(r-4.4-emscripten)randomLCA_1.1-4.tgz(r-4.3-emscripten)
randomLCA.pdf |randomLCA.html✨
randomLCA/json (API)
NEWS
# Install 'randomLCA' in R: |
install.packages('randomLCA', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- dentistry - Dental X-ray data
- genderrole - Gender Role Opinion Items
- hivtests - HIV testing data
- myocardial - Myocardial Infarction
- pap - Positive Action program implementation
- symptoms - Symptoms data
- uterinecarcinoma - Uterine Carcinoma Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 months agofrom:10de31e3d5. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 23 2024 |
R-4.5-linux-x86_64 | OK | Dec 23 2024 |
Exports:AIC3calcCond2ProbcalcCondProbcalcMargProbclassProbsmaxPostClassoutcomeProbspostClassProbsprint.randomLCArandomLCAranefranef.randomLCArefitrefit.randomLCAsimulate.randomLCAsummary.randomLCA
Dependencies:bootcodetoolsdigestdoParalleldoRNGfastGHQuadforeachiteratorslatticeMatrixRcppRcppArmadilloRcppGSLRcppParallelRcppZigguratRfastrngtools