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ECctmc  

Simulation from Endpoint-Conditioned Continuous Time Markov Chains
View on CRAN: Click here


Download and install ECctmc package within the R console
Install from CRAN:
install.packages("ECctmc")

Install from Github:
library("remotes")
install_github("cran/ECctmc")

Install by package version:
library("remotes")
install_version("ECctmc", "0.2.5")



Attach the package and use:
library("ECctmc")
Maintained by
Jon Fintzi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-02-12
Latest Update: 2018-05-01
Description:
Draw sample paths for endpoint-conditioned continuous time Markov chains via modified rejection sampling or uniformization.
How to cite:
Jon Fintzi (2016). ECctmc: Simulation from Endpoint-Conditioned Continuous Time Markov Chains. R package version 0.2.5, https://cran.r-project.org/web/packages/ECctmc
Previous versions and publish date:
0.1.0 (2016-02-12 10:59), 0.2.1 (2016-07-01 10:57), 0.2.2 (2016-08-12 23:49), 0.2.3 (2016-12-13 07:56), 0.2.4 (2017-06-03 00:19), 0.2.5 (2018-05-01 11:41)
Other packages that cited ECctmc R package
View ECctmc citation profile
Other R packages that ECctmc depends, imports, suggests or enhances
Functions, R codes and Examples using the ECctmc R package
Some associated functions: comp_expmat . sample_path . sample_path_mr . sample_path_unif . sample_path_unif2 . sample_path_unif3 . 
Some associated R codes: RcppExports.R . sample_path.R .  Full ECctmc package functions and examples
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