B C D E F G H L M N P R S T U V
| seqHMM-package | The seqHMM package | 
| biofam3c | Three-channel biofam data | 
| bootstrap_coefs | Bootstrap Sampling of NHMM Coefficients | 
| bootstrap_coefs.mnhmm | Bootstrap Sampling of NHMM Coefficients | 
| bootstrap_coefs.nhmm | Bootstrap Sampling of NHMM Coefficients | 
| 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 Mixture HMMs | 
| cluster_names<- | Set Cluster Names for Mixture Models | 
| coef.mnhmm | Get the Estimated Regression Coefficients of Non-Homogeneous Hidden Markov Models | 
| coef.nhmm | Get the Estimated Regression Coefficients of Non-Homogeneous Hidden Markov Models | 
| colorpalette | Color palettes | 
| data_to_stslist | Transform TraMineR's state sequence object to data.table and vice versa | 
| estimate_mnhmm | Estimate a Mixture Non-homogeneous Hidden Markov Model | 
| estimate_nhmm | Estimate a Non-homogeneous Hidden Markov Model | 
| fanhmm_leaves | A feedback-augmented non-homogeneuous hidden Markov Model for leaves data | 
| fit_model | Estimate Parameters of (Mixture) Hidden Markov Models and Their Restricted Variants | 
| forward_backward | Forward and Backward Probabilities for Hidden Markov Model | 
| forward_backward.hmm | Forward and Backward Probabilities for Hidden Markov Model | 
| forward_backward.mhmm | Forward and Backward Probabilities for Hidden Markov Model | 
| forward_backward.mnhmm | Forward and Backward Probabilities for Hidden Markov Model | 
| forward_backward.nhmm | Forward and Backward Probabilities for Hidden Markov Model | 
| get_cluster_probs | Extract the Prior Cluster Probabilities of MHMM or MNHMM | 
| get_cluster_probs.mhmm | Extract the Prior Cluster Probabilities of MHMM or MNHMM | 
| get_cluster_probs.mnhmm | Extract the Prior Cluster Probabilities of MHMM or MNHMM | 
| get_emission_probs | Extract the Emission Probabilities of Hidden Markov Model | 
| get_emission_probs.hmm | Extract the Emission Probabilities of Hidden Markov Model | 
| get_emission_probs.mhmm | Extract the Emission Probabilities of Hidden Markov Model | 
| get_emission_probs.mnhmm | Extract the Emission Probabilities of Hidden Markov Model | 
| get_emission_probs.nhmm | Extract the Emission Probabilities of Hidden Markov Model | 
| get_initial_probs | Extract the Initial State Probabilities of Hidden Markov Model | 
| get_initial_probs.hmm | Extract the Initial State Probabilities of Hidden Markov Model | 
| get_initial_probs.mhmm | Extract the Initial State Probabilities of Hidden Markov Model | 
| get_initial_probs.mnhmm | Extract the Initial State Probabilities of Hidden Markov Model | 
| get_initial_probs.nhmm | Extract the Initial State Probabilities of Hidden Markov Model | 
| get_marginals | Compute the Marginal Probabilities from NHMMs | 
| get_transition_probs | Extract the State Transition Probabilities of Hidden Markov Model | 
| get_transition_probs.hmm | Extract the State Transition Probabilities of Hidden Markov Model | 
| get_transition_probs.mhmm | Extract the State Transition Probabilities of Hidden Markov Model | 
| get_transition_probs.mnhmm | Extract the State Transition Probabilities of Hidden Markov Model | 
| get_transition_probs.nhmm | Extract the State Transition Probabilities of Hidden Markov Model | 
| gridplot | Plot Multidimensional Sequence Plots in a Grid | 
| hidden_paths | Most Probable Paths of Hidden States | 
| hidden_paths.hmm | Most Probable Paths of Hidden States | 
| hidden_paths.mhmm | Most Probable Paths of Hidden States | 
| hidden_paths.mnhmm | Most Probable Paths of Hidden States | 
| hidden_paths.nhmm | Most Probable Paths of Hidden States | 
| hmm_biofam | Hidden Markov model for the biofam data | 
| hmm_mvad | Hidden Markov model for the mvad data | 
| leaves | Synthetic data on fathers' parental leaves in Finland | 
| logLik.hmm | Log-likelihood of a Hidden Markov Model | 
| logLik.mhmm | Log-likelihood of a Hidden Markov Model | 
| logLik.mnhmm | Log-likelihood of a Non-homogeneous Hidden Markov Model | 
| logLik.nhmm | Log-likelihood of a Non-homogeneous 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 | 
| most_probable_cluster | Extract Most Probable Cluster for Each Sequence | 
| mssplot | Interactive Stacked Plots of Multichannel Sequences and/or Most Probable Paths for Mixture Hidden Markov Models | 
| nobs.hmm | Number of Observations in Hidden Markov Model | 
| nobs.mhmm | Number of Observations in Hidden Markov Model | 
| nobs.mnhmm | Number of Observations in Hidden Markov Model | 
| nobs.nhmm | Number of Observations in Hidden Markov Model | 
| 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_cluster_probabilities | Extract Posterior Cluster Probabilities | 
| posterior_probs | Posterior Probabilities for Hidden Markov Models | 
| posterior_probs.hmm | Posterior Probabilities for Hidden Markov Models | 
| posterior_probs.mhmm | Posterior Probabilities for Hidden Markov Models | 
| posterior_probs.mnhmm | Posterior Probabilities for Hidden Markov Models | 
| posterior_probs.nhmm | Posterior Probabilities for Hidden Markov Models | 
| predict.mnhmm | Predictions from Non-homogeneous Hidden Markov Models | 
| predict.nhmm | Predictions from Non-homogeneous Hidden Markov Models | 
| print.hmm | Print Method for a Hidden Markov Model | 
| print.mhmm | Print Method for a Hidden Markov Model | 
| print.mnhmm | Print Method for a Hidden Markov Model | 
| print.nhmm | Print Method for a Hidden Markov Model | 
| print.summary_mhmm | Print Method for a Hidden Markov Model | 
| return_msg | Convert return code from estimate_nhmm and estimate_mnhmm to text | 
| separate_mhmm | Reorganize a mixture hidden Markov model to a list of separate hidden Markov models (covariates ignored) | 
| seqHMM | The seqHMM package | 
| seqHMM-deprecated | Deprecated function(s) in the seqHMM package | 
| 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_mnhmm | Simulate Mixture Non-homogeneous Hidden Markov Models | 
| simulate_nhmm | Simulate Non-homogeneous Hidden Markov Models | 
| simulate_transition_probs | Simulate Parameters of Hidden Markov Models | 
| sort_sequences | Sort sequences in a sequence object | 
| 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 | 
| stacked_sequence_plot | Stacked Sequence Plots of Multichannel Sequences and/or Most Probable Paths from Hidden Markov Models | 
| state_names | Get State Names of Hidden Markov Model | 
| state_names.hmm | Get State Names of Hidden Markov Model | 
| state_names.mhmm | Get State Names of Hidden Markov Model | 
| state_names.mnhmm | Get State Names of Hidden Markov Model | 
| state_names.nhmm | Get State Names of Hidden Markov Model | 
| state_names<- | Get State Names of Hidden Markov Model | 
| state_names<-.hmm | Get State Names of Hidden Markov Model | 
| state_names<-.mhmm | Get State Names of Hidden Markov Model | 
| state_names<-.mnhmm | Get State Names of Hidden Markov Model | 
| state_names<-.nhmm | Get State Names of Hidden Markov Model | 
| stslist_to_data | Transform TraMineR's state sequence object to data.table and vice versa | 
| summary.mhmm | Summary method for mixture hidden Markov models | 
| summary.mnhmm | Summary method for mixture non-homogenous hidden Markov models | 
| trim_model | Trim Small Probabilities of Hidden Markov Model | 
| update.mnhmm | Update Covariate Values of NHMM | 
| update.nhmm | Update Covariate Values of NHMM | 
| vcov.mhmm | Variance-Covariance Matrix for Coefficients of Covariates of Mixture Hidden Markov Model |