prior root probabilities, correcting for sampling bias, etc. See Dang and Golding
(2016) <doi:10.1093/bioinformatics/btv541> for more details.

Suggests: knitr (>= 1.10), testthat (>= 0.9.1), markdown (> 1.0)

Title: Methods for Checking the Markov Condition in Multi-State
Description: The inference in multi-state models is traditionally performed under
a Markov assumption that claims that past and future of the process
are independent given the present state. In this package, we
consider tests of the Markov assumption that are applicable to
general multi-state models. Three approaches using existing
methodology are considered: a simple method based on including
covariates depending on the history in Cox models for the transition
intensities; methods based on measuring the discrepancy of the
non-Markov estimators of the transition probabilities to the
Markov Aalen-Johansen estimators; and, finally, methods that were
developed by considering summaries from families of log-rank
statistics where patients are grouped by the state occupied of the
process at a particular time point (see Soutinho G, Meira-Machado L
Author: Gustavo Soutinho [aut, cre] (<https://orcid.org/0000-0002-0559-1327>),

Title: Package to perform discrete Markov chain analysis
Description: Package to easily handle discrete Markov chains
Depends: R (>= 2.14), methods, expm, matlab, igraph
BugReports: Giorgio Alfredo Spedicato <spedicato_giorgio@yahoo.it>
Packaged: 2013-08-13 18:22:01 UTC; Giorgio Copia

Title: A package to handle and analyze discrete Markov chains
Packaged: 2013-09-09 19:55:43 UTC; Giorgio Copia

Packaged: 2013-11-04 00:21:02 UTC; Packard Bell

Packaged: 2013-12-31 19:55:39 UTC; Giorgio Copia

Title: A package to handle and analyse discrete Markov chains
Description: A package for easily handling discrete Markov chains
Imports: igraph, Matrix, matlab, expm, stats4
Packaged: 2014-01-12 00:04:26 UTC; Giorgio Copia

Imports: igraph, Matrix, matlab, expm, stats4, parallel

Title: Easy Handling Discrete Time Markov Chains
Description: The package contains classes and method to create and manage (plot, print, export for example) discrete time Markov chains (DTMC). In addition it provide functions to perform statistical (fitting and drawing random variates) and probabilistic (analysis of DTMC proprieties) analysis.
Packaged: 2015-01-04 01:35:13 UTC; Packard Bell