Imports: MomTrunc, mvtnorm, gridExtra, ggplot2, tlrmvnmvt

Imports: MomTrunc (>= 5.87), mvtnorm (>= 1.0.11), gridExtra, ggplot2,

Title: Modeling Censored Data Using Mixture Regression
Author: Luis Benites Sanchez, Victor Hugo Lachos
Description: Fit censored linear mixture regression model of Normal or Student-t distribution.

Title: Censored Linear Mixture Regression Models
Description: Fit censored linear regression models where the random errors follow a finite mixture of Normal or Student-t distributions.

Author: Luis Benites Sanchez[cre, aut], Victor Hugo Lachos[cre, aut],
Fit censored linear models of finite mixture multivariate Student-t and Normal distributions.

Imports: mixsmsn, mnormt, mvtnorm, ClusterR, trimcluster
Description: Fit censored linear regression models where the random errors follow a finite mixture of Scale Mixture Normal distributions.
Fit censored mixture regression models based on scale mixture of normal distributions.

Title: Fitting Normal and Student-t censored regression model.
Author: Monique Bettio Massuia <moniquemassuia@gmail.com>, Larissa
Avila Matos <larissaam@ime.unicamp.br> and Victor Lachos
Description: Fit univariate censored linear regression model with
Maintainer: Monique Bettio Massuia <moniquemassuia@gmail.com>

Title: Fits Normal and Student-t Censored Regression Model
Author: Monique Bettio Massuia <moniquemassuia@gmail.com>,
Description: Fits univariate censored linear regression model under Normal or Student-t distribution

Author: Alejandro Ordonez, Christian E. Galarza, Victor H. Lachos
Imports: geoR, stats, graphics, mvtnorm, optimx, tmvtnorm, msm, psych,
Description: It fits linear regression models for censored spatial data. It provides different estimation methods as the SAEM (Stochastic Approximation of Expectation Maximization) algorithm and seminaive that uses Kriging prediction to estimate the response at censored locations and predict new values at unknown locations. It also offers graphical tools for assessing the fitted model.
Packaged: 2016-10-08 01:46:14 UTC; Alejandro Ordo<c3><b1>ez