R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
seqHMM
View on CRAN: Click
here
Download and install seqHMM package within the R console
Install from CRAN:
install.packages("seqHMM")
Install from Github:
library("remotes")
install_github("cran/seqHMM")
Install by package version:
library("remotes")
install_version("seqHMM", "1.2.6")
Attach the package and use:
library("seqHMM")
Maintained by
Jouni Helske
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.seqHMM . https://github.com/helske/seqHMM/issues . seqHMM citation info . seqHMM results . seqHMM.pdf . Mixture Hidden Markov Models for Sequence Data: the seqHMM Package in R . The main algorithms used in the seqHMM package . Examples and tips for estimating Markovian models with seqHMM . Visualization tools in the seqHMM package . seqHMM_1.2.6.tar.gz . seqHMM_1.2.6.zip . seqHMM_1.2.6.zip . seqHMM_1.2.6.zip . seqHMM_1.2.6.tgz . seqHMM_1.2.6.tgz . seqHMM_1.2.6.tgz . seqHMM_1.2.6.tgz . seqHMM_1.2.6.tgz . seqHMM_1.2.6.tgz . seqHMM archive . https://CRAN.R-project.org/package=seqHMM .
First Published: 2015-12-19
Latest Update: 2023-07-06
Description:
Designed for fitting hidden (latent) Markov models and mixture
hidden Markov models for social sequence data and other categorical time series.
Also some more restricted versions of these type of models are available: Markov
models, mixture Markov models, and latent class models. The package supports
models for one or multiple subjects with one or multiple parallel sequences
(channels). External covariates can be added to explain cluster membership in
mixture models. The package provides functions for evaluating and comparing
models, as well as functions for visualizing of multichannel sequence data and
hidden Markov models. Models are estimated using maximum likelihood via the EM
algorithm and/or direct numerical maximization with analytical gradients. All
main algorithms are written in C++ with support for parallel computation.
Documentation is available via several vignettes in this page, and the
paper by Helske and Helske (2019, ).
How to cite:
Jouni Helske (2015). seqHMM: Mixture Hidden Markov Models for Social Sequence Data and Other Multivariate, Multichannel Categorical Time Series. R package version 1.2.6, https://cran.r-project.org/web/packages/seqHMM. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.0.2-1 (2015-12-19 16:15), 1.0.3-1 (2015-12-30 12:10), 1.0.3 (2015-12-23 10:15), 1.0.4 (2016-01-14 13:12), 1.0.5 (2016-02-24 12:07), 1.0.6 (2016-08-01 17:29), 1.0.7 (2017-04-04 19:17), 1.0.8-1 (2018-05-10 14:17), 1.0.8 (2017-11-08 17:59), 1.0.9 (2018-11-06 16:30), 1.0.10 (2019-01-26 06:40), 1.0.11 (2019-04-09 17:22), 1.0.12 (2019-04-11 13:52), 1.0.13 (2019-06-17 15:50), 1.0.14 (2019-10-22 18:50), 1.1.0 (2021-06-18 20:10), 1.1.1 (2021-08-13 10:00), 1.2.0 (2021-10-18 09:40), 1.2.1-1 (2022-05-25 13:00), 1.2.2 (2022-11-30 15:40), 1.2.3 (2022-12-12 14:50), 1.2.4 (2023-01-09 12:20), 1.2.5 (2023-06-12 10:00)
Other packages that cited seqHMM R package
View seqHMM citation profile
Other R packages that seqHMM depends,
imports, suggests or enhances
Complete documentation for seqHMM
Functions, R codes and Examples using
the seqHMM R package
Some associated functions: TraMineR_imports . biofam3c . build_hmm . build_lcm . build_mhmm . build_mm . build_mmm . cluster_names-set . cluster_names . colorpalette . estimate_coef . fit_model . forward_backward . gridplot . hidden_paths . hmm_biofam . hmm_mvad . logLik.hmm . logLik.mhmm . mc_to_sc . mc_to_sc_data . mhmm_biofam . mhmm_mvad . mssplot . plot.hmm . plot.mhmm . plot.ssp . plot_colors . posterior_probs . print . separate_mhmm . seqHMM-deprecated . seqHMM . simulate_hmm . simulate_mhmm . simulate_pars . ssp . ssplot . state_names-set . state_names . summary.mhmm . trim_model . vcov.mhmm .
Some associated R codes: HMMplot.R . RcppExports.R . SSPlotter.R . biofam3c.R . build_hmm.R . build_lcm.R . build_mhmm.R . build_mm.R . build_mmm.R . check_deprecated_args.R . cluster_names.R . colorpalette.R . combine_models.R . estimate_coef.R . fit_model.R . forwardBackward.R . gridplot.R . hidden_paths.R . hmm_biofam.R . hmm_mvad.R . import_seqdef.R . isColor.R . is_multichannel.R . logLik.hmm.R . logLik.mhmm.R . mHMMplotgrid.R . mHMMplotint.R . mc_to_sc.R . mc_to_sc_data.R . mhmm_biofam.R . mhmm_mvad.R . mssplot.R . plot.hmm.R . plot.mhmm.R . plot.ssp.R . plot_colors.R . posterior_probs.R . print.hmm.R . print.mhmm.R . print.summary.mhmm.R . separate_mhmm.R . seqHMM-deprecated.R . seqHMM-package.R . simulate_hmm.R . simulate_mhmm.R . simulate_pars.R . spread_models.R . ssp.R . ssplot.R . ssplotM.R . state_names.R . summary.mhmm.R . trim_hmm.R . vcov.mhmm.R . zzz.R . Full seqHMM package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
gglgbtq
Provides multiple palettes based on pride flags with tailored themes. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Laura Bakala (view profile)
landmix
Non-parametric prediction of survival outcomes for mixture data that incorporates covariates and a l ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Layla Parast (view profile)
quickcode
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
23,842
R Packages
207,311
Dependencies
64,420
Author Associations
23,781
Publication Badges
