This package is an object-oriented implementation of
one-dimensional cellular automata. It supports many of the
features offered by Mathematica, including elementary rules,
user-defined rules, radii, user-defined seeding, and plotting.

MASS, mvtnorm, glmnet, splines, survival, cvTools
Broken Adaptive Ridge Estimator for Censored Data in AFT Model
c(person("Zhihua", "Sun", role = c("aut", "cre"), email = "zhihuasun@ouc.edu.cn"),
person("Chunyu", "Yu", role = "aut"),
person("Gang", "Li", role = "aut"),
person("Kani", "Chen", role = "ctb"),
person("Yi", "Liu", role = "ctb")
)
Broken adaptive ridge estimator for censored data is used to
select variables and estimate their coefficients in the semi-parametric
accelerated failure time model for right-censored survival data.
Zhihua Sun [aut, cre],
Chunyu Yu [aut],
Gang Li [aut],
Kani Chen [ctb],
Yi Liu [ctb]

Broken Adaptive Ridge AFT Model with Censored Data

Finite Mixture of Multivariate Censored/Missing Data
c(
person("Francisco H. C.", "de Alencar", email = "hildemardealencar@gmail.com", role = c("aut", "cre")),
person("Christian E.", "Galarza", email = "cgalarza88@gmail.com", role = "aut"),
person("Larissa A.", "Matos", email = "larissa.amatos@gmail.com", role = "ctb"),
person("Victor H.", "Lachos", email = "hlachos@gmail.com", role = "ctb"))
MomTrunc, mnormt, mvtnorm, gridExtra, ggplot2
It fits finite mixture models for censored or/and missing data using several multivariate distributions. Point estimation and asymptotic inference (via empirical information matrix) are offered as well as censored data generation. Pairwise scatter and contour plots can be generated. Possible multivariate distributions are the well-known normal, Student-t and skew-normal distributions. This package is an complement of Lachos, V. H., Moreno, E. J. L., Chen, K. & Cabral, C. R. B. (2017) <doi:10.1016/j.jmva.2017.05.005> for the multivariate skew-normal case.
Francisco H. C. de Alencar [aut, cre],
Christian E. Galarza [aut],
Larissa A. Matos [ctb],
Victor H. Lachos [ctb]
Francisco H. C. de Alencar <hildemardealencar@gmail.com>