loglikhresid

vector of numeric. Contain the intercept, first entry, and
coefficient of log(sigma), second entry.

vector of numeric. Centered outcomes within each stratum.

matrix. The design matrix including intercept term.

vector of numeric. The estimated coefficients from RO-logit
model.

par1

Compute the negative log-likelihood for obtaining heuristic
 residuals.

Implements the rank-ordered logit (RO-logit) model for stratified
analysis of continuous outcomes introduced by
Tan et al. (2017) <doi:10.1177/0962280217747309>. Model diagnostics based on
the heuristic residuals and estimates in linear scales are available from
the package, and outcomes with ties are supported.

loglikhresid: The negative log likelihood function for obtaining heuristic residuals

Description

Usage

Arguments