markovchain
Easy Handling Discrete Time Markov Chains
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. See Spedicato (2017) doi:10.32614/RJ-2017-036. Some functions for continuous times Markov chains depend on the suggested ctmcd package.
- Version0.10.0
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?Yes
- markovchain citation info
- Last release11/14/2024
Documentation
Team
- Giorgio Alfredo Spedicato
- Richèl J.C. Bilderbeek
- Daniel EbbertShow author detailsRolesContributor
- Toni GiorginoShow author detailsRolesContributor
- Ignacio CordónShow author detailsRolesAuthor
- Reinhold KochShow author detailsRolesContributor
- Tae Seung KangShow author detailsRolesAuthor
- Sai Bhargav YalamanchiShow author detailsRolesAuthor
- Mildenberger Thoralf
- Deepak YadavShow author detailsRolesAuthor
- Vandit JainShow author detailsRolesContributor
- Shreyash MaheshwariShow author detailsRolesContributor
Insights
Last 30 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Depends1 package
- Imports4 packages
- Enhances1 package
- Suggests10 packages
- Linking To3 packages
- Reverse Imports3 packages
- Reverse Suggests3 packages