5 packages on CRAN
Propose a parametric fit for censored linear regression models based on SMSN distributions, from a Bayesian perspective. Also, generates SMSN random variables.
Fit univariate right, left or interval censored regression model under the scale mixture of normal distributions
It fits left, right or interval censored mixed-effects linear model with autoregressive errors of order p using the EM algorithm. It provides estimates, standard errors of the parameters and prediction of future observations.
Fit univariate non-linear scale mixture of skew-normal(NL-SMSN) regression.
Computing the first two moments of the truncated multivariate t (TMVT) distribution under the double truncation. Appling the slice sampling algorithm to generate random variates from the TMVT distribution.