Package: semmcmc
Title: Bayesian Structural Equation Modeling in Multiple Omics Data
        Integration
Version: 0.0.6
Date: 2021-04-20
Authors@R: c(person("Arnab", "Maity", email = "arnab.maity@pfizer.com", role = c("aut", "cre")),
             person("Sang", "Chan Lee", email = "sangchan0624@gmail.com", role = "aut"),
             person("Bani", "K. Mallick", email = "bmallick@stat.tamu.edu", role = "aut"),
             person("Samsiddhi", "Bhattacharjee", email = "sb1@nibmg.ac.in", role = "aut"),
             person("Nidhan", "K. Biswas", email = "nkb1@nibmg.ac.in", role = "aut"))
Description: Provides Markov Chain Monte Carlo (MCMC) routine for the
        structural equation modelling described in Maity et. al. (2020)
        <doi:10.1093/bioinformatics/btaa286>. This MCMC sampler is
        useful when one attempts to perform an integrative survival
        analysis for multiple platforms of the Omics data where the
        response is time to event and the predictors are different
        omics expressions for different platforms.
Depends: R (>= 4.0)
Imports: MASS, msm
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.1.1
Repository: https://maitya02.r-universe.dev
Date/Publication: 2021-05-12 23:42:47 UTC
RemoteUrl: https://github.com/maitya02/semmcmc
RemoteRef: HEAD
RemoteSha: c174b470cd52ac19fa14d28c2a014799abb6f080
NeedsCompilation: no
Packaged: 2026-06-10 09:53:59 UTC; root
Author: Arnab Maity [aut, cre],
  Sang Chan Lee [aut],
  Bani K. Mallick [aut],
  Samsiddhi Bhattacharjee [aut],
  Nidhan K. Biswas [aut]
Maintainer: Arnab Maity <arnab.maity@pfizer.com>