Functions and S4 methods to create and manage discrete time Markov chains (DTMC) more easily. In addition functions to perform statistical (fitting and drawing random variates) and probabilistic (analysis of DTMC proprieties) analysis are provided.

Giorgio Alfredo Spedicato [aut,cre], Tae Seung Kang [aut], Mildenberger Thoralf [ctb]
igraph, Matrix, matlab, expm, stats4, parallel, Rcpp (>=
0.11.5), RcppParallel

Giorgio Alfredo Spedicato [aut,cre], Tae Seung Kang [aut], Sai Bhargav Yalamanchi [aut], Mildenberger Thoralf [ctb]
igraph, Matrix, matlab, expm, stats4, parallel, Rcpp (>=
0.11.5), RcppParallel, utils

igraph, Matrix, matlab, expm, stats4, parallel, Rcpp (>=
0.11.5), RcppParallel, utils, MultinomialCI, stats

igraph, Matrix, matlab, expm, stats4, parallel, Rcpp (>=
0.11.5), RcppParallel, utils, stats
knitr, testthat, diagram, DiagrammeR, msm, etm, Rsolnp

knitr, testthat, diagram, DiagrammeR, msm, etm, Rsolnp,
knitcitations, rmarkdown

Giorgio Alfredo Spedicato [aut,cre], Tae Seung Kang [aut], Sai Bhargav Yalamanchi [aut], Mildenberger Thoralf [ctb], Deepak Yadav [ctb]

Giorgio Alfredo Spedicato [aut,cre], Tae Seung Kang [aut], Sai Bhargav
Yalamanchi [aut], Mildenberger Thoralf [ctb], Deepak Yadav [ctb]
Functions and S4 methods to create and manage discrete time Markov
chains (DTMC) more easily. In addition functions to perform statistical (fitting
and drawing random variates) and probabilistic (analysis of DTMC proprieties)
analysis are provided.

knitr, testthat, diagram, DiagrammeR, msm, etm

Functions and S4 methods to create and manage discrete time Markov
chains more easily. In addition functions to perform statistical (fitting
and drawing random variates) and probabilistic (analysis of their structural proprieties)
analysis are provided.

Giorgio Alfredo Spedicato [aut,cre], Tae Seung Kang [aut], Sai Bhargav
Yalamanchi [aut], Mildenberger Thoralf [ctb], Deepak Yadav [ctb], Nacho Cordón
Castillo [ctb], Vandit Jain [ctb]
Functions and S4 methods to create and manage discrete time Markov
chains more easily. In addition functions to perform statistical (fitting
and drawing random variates) and probabilistic (analysis of their structural
proprieties) analysis are provided.
igraph, Matrix, matlab, expm, stats4, parallel, Rcpp (>=
0.11.5), RcppParallel, utils, stats, grDevices
knitr, testthat, diagram, DiagrammeR, msm, etm, Rsolnp,
knitcitations, rmarkdown, ctmcd