Last data update: 2014.03.03

Data Source

R Release (3.2.3)
CranContrib
BioConductor
All

Data Type

Packages
Functions
Images
Data set

Classification

Results 1 - 1 of 1 found.
[1] < 1 > [1]  Sort:

msm : Multi-State Markov and Hidden Markov Models in Continuous Time

Package: msm
Version: 1.6.1
Date: 2016-03-09
Title: Multi-State Markov and Hidden Markov Models in Continuous Time
Author: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>
Maintainer: Christopher Jackson <chris.jackson@mrc-bsu.cam.ac.uk>
Description: Functions for fitting continuous-time Markov and hidden
Markov multi-state models to longitudinal data. Designed for
processes observed at arbitrary times in continuous time (panel data)
but some other observation schemes are supported. Both Markov
transition rates and the hidden Markov output process can be modelled
in terms of covariates, which may be constant or piecewise-constant
in time.
License: GPL (>= 2)
Imports: survival, mvtnorm, expm
Suggests: mstate, minqa, doParallel, foreach, numDeriv, testthat, flexsurv
LazyData: yes
NeedsCompilation: yes
Packaged: 2016-03-09 11:24:28 UTC; chris
Repository: CRAN
Date/Publication: 2016-03-09 15:20:54

● Data Source: CranContrib
● Cran Task View: Distributions, Survival
● 0 images, 58 functions, 5 datasets
Reverse Depends: 14