alcdf |
Asymmetric Laplace distribution |
alcdfstd |
CDF of standard asymmetric Laplace distribution |
bqror |
Bayesian quantile regression for ordinal models |
covariateEffect_or1 |
Covariate effect for Bayesian quantile regression for ordinal quantile model with more than 3 outcomes |
covariateEffect_or2 |
Covariate effect for Bayesian quantile regression for ordinal quantile model with 3 outcomes |
data25j3 |
Data containing 500 observations generated from the quantile ordinal model with 3 outcomes and p = 0.25 (i.e., 25th quantile) |
data25j4 |
Data containing 500 observations generated from the quantile ordinal model with 4 outcomes and p = 0.25 (i.e., 25th quantile) |
data50j3 |
Data containing 500 observations generated from the quantile ordinal model with 3 outcomes and p = 0.5 (i.e., 50th quantile) |
data50j4 |
Data containing 500 observations generated from the quantile ordinal model with 4 outcomes and p = 0.5 (i.e., 50th quantile) |
data75j3 |
Data containing 500 observations generated from the quantile ordinal model with 3 outcomes and p = 0.75 (i.e., 75th quantile) |
data75j4 |
Data containing 500 observations generated from the quantile ordinal model with 4 outcomes and p = 0.75 (i.e., 75th quantile) |
deviance_or1 |
Deviance Information Criteria for ordinal quantile model with more than 3 outcomes |
deviance_or2 |
Deviance Information Criteria for ordinal quantile model with 3 outcomes |
drawbeta_or1 |
Samples beta for ordinal quantile model with more than 3 outcomes |
drawbeta_or2 |
Samples beta for ordinal quantile model with 3 outcomes |
drawdelta_or1 |
Samples delta for ordinal quantile model with more than 3 outcomes |
drawlatent_or1 |
Samples the latent variable z for ordinal quantile model with more than 3 outcomes |
drawlatent_or2 |
Samples the latent variable z for ordinal quantile model with 3 outcomes |
drawnu_or2 |
Samples the scale factor nu for ordinal quantile model with 3 outcomes |
drawsigma_or2 |
Samples the sigma for ordinal quantile model with 3 outcomes |
draww_or1 |
Samples the latent weight w for ordinal quantile model with more than 3 outcomes |
Educational_Attainment |
The data consists of information on educational attainment and other variables for 3,923 individuals and is taken from the National Longitudinal Study of Youth (NLSY, 1979) survey. |
infactor_or1 |
Inefficiency factor for ordinal quantile model with more than 3 outcomes |
infactor_or2 |
Inefficiency factor for ordinal quantile model with 3 outcomes |
logMargLikelihood_or1 |
Marginal likelihood for ordinal quantile model with more than 3 outcomes |
logMargLikelihood_or2 |
Marginal likelihood for ordinal quantile model with 3 outcomes |
Policy_Opinion |
The data consists of public opinion on raising federal income taxes on the rich and a host of other variables for 1,164 individuals and is taken from the 2010-2012 American National Election Studies (ANES) on the Evaluation of Government and Society Study I (EGSS 1) |
qrminfundtheorem |
Minimize the negative of log-likelihood |
qrnegLogLikensum_or1 |
Negative log-likelihood for ordinal quantile model with more than 3 outcomes |
qrnegLogLike_or2 |
Negative log-likelihood for ordinal quantile model with 3 outcomes |
quantreg_or1 |
Bayesian quantile regression for ordinal quantile model with more than 3 outcomes |
quantreg_or2 |
Bayesian quantile regression for ordinal quantile model with 3 outcomes |
rndald |
Generates random numbers from an asymmetric Laplace distribution |
traceplot_or1 |
Trace plots for ordinal quantile model with more than 3 outcomes |
traceplot_or2 |
Trace plots for ordinal quantile model with 3 outcomes |