Man pages for RprobitB
Bayes Estimation of Latent Class Mixed Multinomial Probit Models

check_distrCheck 'distr'.
check_formCheck 'form'.
check_priorCheck 'prior'.
choice_probsCompute choice probabilities of an 'RprobitB_model'.
classifyClassify deciders.
compareCompare fitted models.
compute_choice_probabilitiesCompute probit choice probabilities for a single choice...
compute_log_likelihoodCompute log-likelihood of an 'RprobitB_model'.
compute_point_estimatesCompute point estimates of an 'RprobitB_model'.
compute_sufficient_statisticsCompute sufficient statistics.
create_labels_alphaCreate labels for 'alpha'.
create_labels_bCreate labels for 'b'.
create_labels_OmegaCreate labels for 'Omega'.
create_labels_sCreate labels for 's'.
create_labels_SigmaCreate labels for 'Sigma'.
create_parameter_labelsCreate parameters labels.
deltaDifference operator.
dmvnrm_arma_mcMultivariate normal density
filter_gibbs_samplesFilter Gibbs samples.
gibbs_samplingGibbs sampler.
is_covariance_matrixCheck covariance matrix properties.
mcmcPerform Markov chain Monte Carlo simulation for fitting a...
overview_effectsOverview of effects.
plot_acfAutocorrelation plot of Gibbs samples.
plot_effectsVisualizing the linear effects.
plot_mixture_contourPlotting mixing distribution contours.
plot_mixture_marginalPlotting marginal mixing distributions.
plot.RprobitB_modelPlot method for 'RprobitB_model'.
plot_traceVisualizing the trace of Gibbs samples.
predictPredict choices.
preference_flipCheck for flip in preferences after change in model scale.
preparePrepare empirical choice data.
print.RprobitB_dataPrint method for 'RprobitB_data'.
print.RprobitB_gibbs_samples_statisticsPrint method for 'RprobitB_gibbs_samples_statistics'.
print.RprobitB_latent_classesPrint method for 'RprobitB_latent_classes'.
print.RprobitB_modelPrint method for 'RprobitB_model'.
print.RprobitB_normalizationPrint method for 'RprobitB_normalization'.
print.summary.RprobitB_dataPrint method for the summary of 'RprobitB_data'.
print.summary.RprobitB_modelPrint method for the summary of 'RprobitB_model'.
rdirichletDraw from Dirichlet
R_hatCompute Gelman-Rubin statistic.
RprobitB_dataCreate object of class 'RprobitB_data'.
RprobitB_gibbs_samples_statisticsCompute parameter statistics.
RprobitB_latent_classesCreate object of class 'RprobitB_latent_classes'.
RprobitB_modelCreate object of class 'RprobitB_model'.
RprobitB_normalizationCreate object of class 'RprobitB_normalization'.
RprobitB_parameterCreate object of class 'RprobitB_parameter'.
rwishartDraw from a Wishart
set_initial_gibbs_valuesSet initial values for the Gibbs sampler.
set_mfrowBalancing visualization of multiple figures.
simulateSimulate choice data.
summary.RprobitB_dataSummary method for 'RprobitB_data'.
summary.RprobitB_modelSummary method for 'RprobitB_model'.
transformChange the length of the burn-in period, the thinning factor...
transform_gibbs_samplesTransformation of Gibbs samples.
transform_parameterTransformation of parameter values.
undiff_SigmaTransform differenced to non-differenced error term...
RprobitB documentation built on Nov. 12, 2021, 5:08 p.m.