| 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) |
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