of global ceRNA regulation prediction methods and four types of context-specific

respectively. In addition, For predictive ceRNA relationship pairs, this package
provides several downstream analysis algorithms, including regulatory network
analysis and functional annotation analysis, as well as survival prognosis analysis
based on expression of ceRNA ternary pair.

Description: 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.
Packaged: Mon Nov 26 13:44:49 2007; jhughes

Packaged: 2013-08-20 00:22:37 UTC; jphughesjr

Description: 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.

Imports: MASS, mvtnorm, glmnet, splines, survival, cvTools
Title: Broken Adaptive Ridge Estimator for Censored Data in AFT Model
Authors@R: c(person("Zhihua", "Sun", role = c("aut", "cre"), email = "zhihuasun@ouc.edu.cn"),
Description: 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.

Title: Broken Adaptive Ridge AFT Model with Censored Data

Title: Finite Mixture of Multivariate Censored/Missing Data
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"))
Imports: MomTrunc, mnormt, mvtnorm, gridExtra, ggplot2
Description: 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.
Author: Francisco H. C. de Alencar [aut, cre],
Maintainer: Francisco H. C. de Alencar <hildemardealencar@gmail.com>