| anova.hopit | Likelihood Ratio Test Tables |
| boot_hopit | Bootstrapping hopit model |
| disabilityWeights | Standardization of the coefficients |
| getCutPoints | Calculate the threshold cut-points and individual adjusted responses using Jurges' method |
| getLevels | Summarize the adjusted and the original self-rated response levels |
| healthIndex | Calculate the latent index |
| healthsurvey | Artificially generated health survey data |
| hopit | Generalized hierarchical ordered threshold models. |
| hopit.control | Auxiliary for controlling the fitting of a 'hopit' model |
| latentIndex | Calculate the latent index |
| percentile_CI | Calculating the confidence intervals of the bootstrapped function using the percentile method |
| standardiseCoef | Standardization of the coefficients |
| standardizeCoef | Standardization of the coefficients |
| svy.varcoef_hopit | Calculation of the variance-covariance matrix for a specified survey design (experimental function) |