mixedtobit: Estimate tobit regression model parameters with mixed effects
In WannabeSmith/mixedtobit: Estimate Mixed Tobit Regression Models

Use multiple outputation (a.k.a. within-cluster resampling) to estimate tobit regression model parameters with mixed effects

1 2	mixedtobit(formula, data, M, left = -1, id, ch.terms = NULL, beta.only = FALSE)

`formula`	a regression formula describing the relationship between the response and the predictors
`data`	a data.frame containing the response and predictors of interest, as well as cluster IDs
`M`	the (positive integer) number of outputations (resamples) to perform
`left`	the location of left censoring
`id`	a string of the column name in "data" specifying the cluster ID
`ch.terms`	a vector of column names that should be used as conditional heteroscedasticity covariates
`beta.only`	a logical variable indicating whether or not to include just beta (this is useful for simulations with memory requirements)