drimmR
Estimation, Simulation and Reliability of Drifting Markov Models
Performs the drifting Markov models (DMM) which are non-homogeneous Markov models designed for modeling the heterogeneities of sequences in a more flexible way than homogeneous Markov chains or even hidden Markov models. In this context, we developed an R package dedicated to the estimation, simulation and the exact computation of associated reliability of drifting Markov models. The implemented methods are described in Vergne, N. (2008), doi:10.2202/1544-6115.1326 and Barbu, V.S., Vergne, N. (2019) doi:10.1007/s11009-018-9682-8.
- Version1.0.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Vergne, N. (2008)
- Barbu, V.S., Vergne, N. (2019)
- Last release05/10/2021
Documentation
Team
Nicolas Vergne
Vlad Stefan Barbu
Show author detailsRolesAuthorGeoffray Brelurut
Show author detailsRolesContributorAnnthomy Gilles
Show author detailsRolesContributorArnaud Lefebvre
Show author detailsRolesContributorCorentin Lothode
Show author detailsRolesAuthorVictor Mataigne
Show author detailsRolesContributorAlexandre Seiller
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 159 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 times.
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Last 365 days
This package has been downloaded 1,982 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 24, 2024 with 26 downloads.
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Dependencies
- Imports9 packages
- Suggests2 packages