Non-parametric Maximum-Likelihood Estimation for Competing-Risks
Data
Chung-Hsing Chen <chchen@nhri.org.tw>, I-Shou Chang <ischang@nhri.org.tw> and Chao A. Hsiung <hsiung@nhri.org.tw>
The package computes non-parametric Maximum-Likelihood Estimate and its asymptotic variance in a semiparametric mixture model for competing-risks data, as described in Chang et al. (2007b).

Type-specific Failure Rate and Hazard Rate on Competing Risks
Data
Chung-Hsing Chen, I-Shou Chang and Chao A. Hsiung
Given a failure type, the function computes covariate-specific probability of failure over time and covariate-specific conditional hazard rate based on possibly right-censored competing risk data. Specifically, it computes the non-parametric maximum-likelihood estimates of these quantities and their asymptotic variances in a semi-parametric mixture model for competing-risks data, as described in Chang et al. (2007a).

Type-Specific Failure Rate and Hazard Rate on Competing Risks
Data

Two-Groups Mixture Model with Covariates
c(
person( "Nabarun", "Deb", email=  "nd2560@columbia.edu", role =  c("aut", "cre")),
person("Sujayam", "Saha", email =  "sujayam@berkeley.edu", role = "ctb"),
person("Adityanand", "Guntuboyina", email = "aditya@stat.berkeley.edu", role =  "ctb"),
person("Bodhisattva", "Sen", email = "bodhi@stat.columbia.edu", role =  "ctb")
)
We develop three procedures for estimation in a two-groups model with covariates. One of them is a nonparametric maximum likelihood estimation based approach when the signal distribution is an infinite Gaussian location mixture and the signal proportion is a logistic function of the available covariates. Two other functions - marg1() and marg2() have also been implemented for inference in the above framework. All these methods can be used for inference in multiple hypotheses testing. For more information, see the paper: Deb, Saha, Guntuboyina and Sen (2019),``Two-component Mixture Model in the Presence of Covariates'' <arXiv:1810.07897v2>.
Nabarun Deb [aut, cre],
Sujayam Saha [ctb],
Adityanand Guntuboyina [ctb],
Bodhisattva Sen [ctb]
MOSEK (http://www.mosek.com) and MOSEK license.
R.utils, dplyr, spatstat, methods, latexpdf, Matrix, FDRreg,
Rcpp, REBayes, CAMAN, progress, pbapply, Hmisc, pracma, mosaic