Description Usage Arguments Details Value
View source: R/tcensReg_llike.R
This is a supporting function that is used to calculate the log likelihood value at the nth iteration of theta.
1 | tcensReg_llike(theta, y, X, a = -Inf, v = NULL)
|
theta |
Numeric vector containing estimates of β and \log(σ) |
y |
Numeric vector with the observed truncated and censored outcomes |
X |
Numeric design matrix |
a |
Numeric scalar indicating the truncation value. Initial value is -Inf indicating no truncation |
v |
Numeric scalar indicating the censoring value. Initially set to NULL indicating no censoring |
If a
and/or v
are not specified then the corresponding censored only, truncated only,
or gaussian log likelihood will be used. This function is called as part of
the Newton-Raphson algorithm in tcensReg_newton
and in additional
optimization methods in tcensReg_optim
.
Scalar value of the log-likelihood at the nth iterate
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