AIC.hopit | Extracting the Akaike Information Criterion from the fitted... |
anova.hopit | Likelihood Ratio Test Tables |
boot_hopit | Bootstrapping hopit model |
coef.hopit | Extracting the model coefficients |
getCutPoints | Calculate the threshold cut-points and individual adjusted... |
get.hopit.start | INTERNAL: Get the starting parameters |
getLevels | Summarize the adjusted and the original self-rated response... |
healthsurvey | Artificially generated health survey data |
hopit | Generalized hierarchical ordered threshold models. |
hopit.control | Auxiliary for controlling the fitting of a 'hopit' model |
hopit_derivLL | INTERNAL: The gradient of the log likelihood function |
hopit_fitter | INTERNAL: Fit a 'hopit' model given the starting parameters |
hopit_Latent | INTERNAL: Calculate the predicted continuous latent measure... |
hopit_negLL | INTERNAL: The log likelihood function |
hopit_Threshold | INTERNAL: Calculate the model cut-points (alpha) |
latentIndex | Calculate the latent index |
logLik.hopit | Extracting a log likelihood of the fitted model |
lrt.hopit | Likelihood ratio test for a pair of models |
percentile_CI | Calculating the confidence intervals of the bootstrapped... |
plot.hopitCP | Plotting Cut-Points |
plot.hopitDW | Plotting standardized coefficients |
plot.hopitHI | Plotting Latent Index |
plot.hopitLV | Plotting getLevels object |
plot.profile.hopit | Plot the log likelihood profile for a profile.hopit object |
print.hopit | Printing basic information about fitted 'hopit' model |
print.lrt.hopit | Printing an object calculated by 'lrt.hopit' |
print.profile.hopit | Print method for a profile.hopit object |
profile.hopit | Calculate the log likelihood profile for the fitted 'hopit'... |
sigma.hopit | Extract the 'Sigma' parameter from a 'hopit' model |
standardizeCoef | Standardization of the coefficients |
summary.hopit | Calculate the model summary |
svy.varcoef_hopit | Calculation of the variance-covariance matrix for a specified... |
vcov.hopit | Variance-covariance matrix from the fitted model |
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