Add to ORKGR topics documented: BayesLCA-package..................................... 2 Alzheimer.......................................... 3 as.mcmc.blca.gibbs..................................... 3 blca............................................. 5 blca.boot........................................... 6 blca.em........................................... 9 blca.em.sd.......................................... 12 blca.gibbs.......................................... 1
The exponential growth of social data both in volume and complexity has increasingly exposed many of...
The latent class model (LCM) is a statistical method that introduces a set of latent categorical var...
<p>LC = latent class; SE = standard error; SD = standard deviation; CS = convergence statistic.</p
The BayesLCA package for R provides tools for performing latent class analysis within a Bayesian set...
The BayesLCA package for R provides tools for performing latent class analysis within a Bayesian set...
Description Latent class analysis and latent class regression models for polytomous outcome variable...
Latent class analysis explains dependency structures in multivariate categorical data by assuming t...
Abstract Background The Naive Bayes (NB) classifier is a powerful supervised algorithm widely used i...
This text (.txt, tab delimited) file contains the extracted results from a Monte Carlo simulation ex...
R topics documented: lestat-package........................................ 3 anovatable...............
Description The BayesFactor package is a suite of functions for computing various Bayes fac-tors for...
Restricted latent class models (RLCMs) provide a pivotal framework for supporting diagnostic researc...
Fit Bayesian models using 'brms'/'Stan' with 'parsnip'/'tidymodels' via 'bayesian' . 'tidymodels' is...
Description This package provides a Bayesian methodology for structure learning in undi-rected graph...
Latent class is a method for classifying subjects, originally based on binary outcome data but now e...
The exponential growth of social data both in volume and complexity has increasingly exposed many of...
The latent class model (LCM) is a statistical method that introduces a set of latent categorical var...
<p>LC = latent class; SE = standard error; SD = standard deviation; CS = convergence statistic.</p
The BayesLCA package for R provides tools for performing latent class analysis within a Bayesian set...
The BayesLCA package for R provides tools for performing latent class analysis within a Bayesian set...
Description Latent class analysis and latent class regression models for polytomous outcome variable...
Latent class analysis explains dependency structures in multivariate categorical data by assuming t...
Abstract Background The Naive Bayes (NB) classifier is a powerful supervised algorithm widely used i...
This text (.txt, tab delimited) file contains the extracted results from a Monte Carlo simulation ex...
R topics documented: lestat-package........................................ 3 anovatable...............
Description The BayesFactor package is a suite of functions for computing various Bayes fac-tors for...
Restricted latent class models (RLCMs) provide a pivotal framework for supporting diagnostic researc...
Fit Bayesian models using 'brms'/'Stan' with 'parsnip'/'tidymodels' via 'bayesian' . 'tidymodels' is...
Description This package provides a Bayesian methodology for structure learning in undi-rected graph...
Latent class is a method for classifying subjects, originally based on binary outcome data but now e...
The exponential growth of social data both in volume and complexity has increasingly exposed many of...
The latent class model (LCM) is a statistical method that introduces a set of latent categorical var...
<p>LC = latent class; SE = standard error; SD = standard deviation; CS = convergence statistic.</p