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hmmr  

"Mixture and Hidden Markov Models with R" Datasets and Example Code
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("hmmr", "1.0-0.1")



Attach the package and use:
library("hmmr")
Maintained by
Ingmar Visser
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-05-27
Latest Update: 2025-03-08
Description:
Datasets and code examples that accompany our book Visser & Speekenbrink (2021), "Mixture and Hidden Markov Models with R", .
How to cite:
Ingmar Visser (2021). hmmr: "Mixture and Hidden Markov Models with R" Datasets and Example Code. R package version 1.0-0.1, https://cran.r-project.org/web/packages/hmmr. Accessed 30 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:47), 1.0-0.1 (2025-03-08 09:58), 1.0-0 (2021-05-27 09:10), 1.0-1 (2026-05-25 19:00)
Other packages that cited hmmr R package
View hmmr citation profile
Other R packages that hmmr depends, imports, suggests or enhances
Complete documentation for hmmr
Functions, R codes and Examples using the hmmr R package
Some associated functions: FFBS_BinomialNormal . IGT . MAR_simulation_results . MNAR_simulation_results . SEsamples . WPT . balance8 . balance8pars . confint . conservation . dccs . dccs_boot_LR . disc42 . discrimination . hmm . perth . simplehmm . speed1 . speed_boot_LR . speed_boot_LR_extra . speed_boot_par . 
Some associated R codes: FFBS_BinomialNormal.R . hmm.R .  Full hmmr package functions and examples
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