Man pages for boryspaulewicz/bhsdtr2
Bayesian (non-)hierarchical ordinal models with ordered thresholds
| acc.to.delta | Calculates delta = log(d') given accuracy or accuracy given... |
| bhsdtr | Creating and fitting ordinal models with ordered thresholds |
| combined.response | Creates the combined response variable |
| condition.specific.samples | get posterior samples or jmap point estimates per condition |
| cumulative | Fit a cumulative ordinal model with varying ordered... |
| fit | Fit a bhsdtr model using jmap or stan |
| linkfun | Link function by name |
| plot.bhsdtr_model | plot a fitted bhsdtr model |
| predictor.names | Extract the names of the predictor variables |
| print.bhsdtr_model | print a bhsdtr model object |
| print.bhsdtr_samples | print bhsdtr condition-specific samples or jmap point... |
| samples | Obtain posterior samples or jmap estimates for unique... |
| samples.data | Extract the data frame with predictors |
| sdt.hit.fa | Utility function |
| set.prior | Set the parameters of the prior distributions |
| sim.sdt | Simulate the data from an SDT model |
| summary.bhsdtr_samples | summary of condition specific samples |
| unbiased | Calculates "unbiased" thresholds for the parsimonious link... |
