tcensReg_llike_sepvar: Log Likelihood for Model for J independent Truncated Normal...
In williazo/tcensReg: MLE of a Truncated Normal Distribution with Censored Data

This function is part of the supporting function space to calculate the value of the log-likelihood at the nth iteration of theta. For this parametrization we assume that there exists (p-1) linear parameters for the mean and J separate variance parameters.

1	tcensReg_llike_sepvar(theta, y, X, group, a = -Inf, v = NULL)

`theta`	Numeric vector containing the values at the present iterate for the (p-1) fixed mean parameters and the J log sigma values
`y`	Numeric vector containing the outcome
`X`	Numeric design matrix
`group`	Factor variable used to define the J groups
`a`	Numeric scalar defining the common truncation value for each Truncated Normal
`v`	Numeric scalar defining the common censoring value