| alcdf | cdf of an asymmetric Laplace distribution |
| alcdfstd | cdf of a standard asymmetric Laplace distribution |
| bqror | Bayesian quantile regression for ordinal models |
| covEffectOR1 | Covariate effect in the OR1 model |
| covEffectOR2 | Covariate effect in the OR2 model |
| data25j3 | Simulated data from the OR2 model for p = 0.25 (i.e., 25th quantile) |
| data25j4 | Simulated data from the OR1 model for p = 0.25 (i.e., 25th quantile) |
| data50j3 | Simulated data from the OR2 model for p = 0.5 (i.e., 50th quantile) |
| data50j4 | Simulated data from the OR1 model for p = 0.5 (i.e., 50th quantile) |
| data75j3 | Simulated data from the OR2 model for p = 0.75 (i.e., 75th quantile) |
| data75j4 | Simulated data from the OR1 model for p = 0.75 (i.e., 75th quantile) |
| dicOR1 | Deviance Information Criterion in the OR1 model |
| dicOR2 | Deviance Information Criterion in the OR2 model |
| drawbetaOR1 | Samples beta in the OR1 model |
| drawbetaOR2 | Samples beta in the OR2 model |
| drawdeltaOR1 | Samples delta in the OR1 model |
| drawlatentOR1 | Samples latent variable z in the OR1 model |
| drawlatentOR2 | Samples latent variable z in the OR2 model |
| drawnuOR2 | Samples scale factor nu in the OR2 model |
| drawsigmaOR2 | Samples sigma in the OR2 model |
| drawwOR1 | Samples latent weight w in the OR1 model |
| Educational_Attainment | Educational Attainment study based on data from the National Longitudinal Study of Youth (NLSY, 1979) survey. |
| ineffactorOR1 | Inefficiency factor in the OR1 model |
| ineffactorOR2 | Inefficiency factor in the OR2 model |
| logMargLikeOR1 | Marginal likelihood in the OR1 model |
| logMargLikeOR2 | Marginal likelihood in the OR2 model |
| Policy_Opinion | Data contains public opinion on the proposal to raise federal income taxes for couples (individuals) earning more than $250,000 ($200,000) per year and a host of other covariates. The data is taken from the 2010-2012 American National Election Studies (ANES) on the Evaluation of Government and Society Study I (EGSS 1) |
| qrminfundtheorem | Minimizes the negative of log-likelihood in the OR1 model |
| qrnegLogLikensumOR1 | Negative log-likelihood in the OR1 model |
| qrnegLogLikeOR2 | Negative sum of log-likelihood in the OR2 model |
| quantregOR1 | Bayesian quantile regression in the OR1 model |
| quantregOR2 | Bayesian quantile regression in the OR2 model |
| rndald | Generates random numbers from an AL distribution |
| summary.bqrorOR1 | Extractor function for summary |
| summary.bqrorOR2 | Extractor function for summary |