# Hierarchical Ordered Probit Models with Application to Reporting Heterogeneity

## Documentation for package ‘hopit’ version 0.10.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

%c% | Check whether one set contains all elements of another set
%notc% | Not %c% function
%notin% | Not %in% function
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)