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| 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 |