R: Mixture Hidden Markov Models for Social Sequence Data and Other Multivariate, Multichannel Categorical Time Series

# Mixture Hidden Markov Models for Social Sequence Data and Other Multivariate, Multichannel Categorical Time Series

## Documentation for package ‘seqHMM’ version 1.2.6

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

alphabet | Imported Functions from 'TraMineR'
biofam3c | Three-channel biofam data
build_hmm | Build a Hidden Markov Model
build_lcm | Build a Latent Class Model
build_mhmm | Build a Mixture Hidden Markov Model
build_mm | Build a Markov Model
build_mmm | Build a Mixture Markov Model
cluster_names | Get cluster names from mhmm object
cluster_names<- | Set cluster names for mhmm object
colorpalette | Color palettes
estimate_coef | Estimate Regression Coefficients of Mixture Hidden Markov Models
fit_hmm | Deprecated function(s) in the seqHMM package
fit_mhmm | Deprecated function(s) in the seqHMM package
fit_model | Estimate Parameters of (Mixture) Hidden Markov Models and Their Restricted Variants
forward_backward | Forward and Backward Probabilities for Hidden Markov Model
gridplot | Plot Multidimensional Sequence Plots in a Grid
hidden_paths | Most Probable Paths of Hidden States
hmm_biofam | Hidden Markov model for the biofam data
hmm_mvad | Hidden Markov model for the mvad data
logLik.hmm | Log-likelihood of the Hidden Markov Model
logLik.mhmm | Log-likelihood of the Mixture Hidden Markov Model
mc_to_sc | Transform a Multichannel Hidden Markov Model into a Single Channel Representation
mc_to_sc_data | Merge Multiple Sequence Objects into One (from Multichannel to Single Channel Data)
mhmm_biofam | Mixture hidden Markov model for the biofam data
mhmm_mvad | Mixture hidden Markov model for the mvad data
mssplot | Interactive Stacked Plots of Multichannel Sequences and/or Most Probable Paths for Mixture Hidden Markov Models
plot.hmm | Plot hidden Markov models
plot.mhmm | Interactive Plotting for Mixed Hidden Markov Model (mhmm)
plot.ssp | Stack Multichannel Sequence Plots and/or Most Probable Paths Plots from Hidden Markov Models
plot_colors | Plot Colorpalettes
posterior_probs | Posterior Probabilities for (Mixture) Hidden Markov Models
print.hmm | Print Method for a Hidden Markov Model
print.mhmm | Print Method for a Hidden Markov Model
print.summary.mhmm | Print Method for a Hidden Markov Model
separate_mhmm | Reorganize a mixture hidden Markov model to a list of separate hidden Markov models (covariates ignored)
seqdef | Imported Functions from 'TraMineR'
seqHMM | The seqHMM package
seqHMM-deprecated | Deprecated function(s) in the seqHMM package
seqstatf | Imported Functions from 'TraMineR'
simulate_emission_probs | Simulate Parameters of Hidden Markov Models
simulate_hmm | Simulate hidden Markov models
simulate_initial_probs | Simulate Parameters of Hidden Markov Models
simulate_mhmm | Simulate Mixture Hidden Markov Models
simulate_transition_probs | Simulate Parameters of Hidden Markov Models
ssp | Define Arguments for Plotting Multichannel Sequences and/or Most Probable Paths from Hidden Markov Models
ssplot | Stacked Plots of Multichannel Sequences and/or Most Probable Paths from Hidden Markov Models
state_names | Get state names from hmm or mhmm object
state_names<- | Set state names for hmm or mhmm object
summary.mhmm | Summary method for mixture hidden Markov models
trim_hmm | Deprecated function(s) in the seqHMM package
trim_model | Trim Small Probabilities of Hidden Markov Model
vcov.mhmm | Variance-Covariance Matrix for Coefficients of Covariates of Mixture Hidden Markov Model