Function reference • IBpaper

All functions
`em()`	EM algorithm to compute the MLE for beta regression with rounded responses
`glm_negbin()`	MLE for negative binomial with interfered responses
`inverse_FIM()`	Inverse Fisher information matrix for logistic regression with misclassified responses
`logLike_negbin()`	Log-likelihood for negative binomial with interfered responses
`logistic_misclassification_mle()`	MLE for logistic regression with misclassified responses
`make_betareg()`	Construct a `betareg` object for beta regression with predefined coefficients
`make_logistic()`	Construct a `glm` object for logistic regression with predefined coefficients
`make_negbin()`	Construct a `negbin` object for negative binomial regression with predefined coefficients
`nll_max_alpha()`	Negative log-likelihood for the overdispersion parameter (negative binomial regression)
`nll_max_beta()`	Negative log-likelihood for beta coefficients (negative binomial regression)
`par_bootstrap_mle()`	Parametric bootstrap for logistic regression with misclassified responses
`student`	Students' Alcohol Consumption Real Data

Reference