| cmine |
Mining contexts |
| cmine-method |
Mining contexts |
| cplot |
Plot single nodes of a probabilistic suffix tree |
| cplot-method |
Plot single nodes of a probabilistic suffix tree |
| cprob |
Empirical conditional probability distributions of order 'L' |
| cprob-method |
Empirical conditional probability distributions of order 'L' |
| generate |
Generate sequences using a probabilistic suffix tree |
| generate-method |
Generate sequences using a probabilistic suffix tree |
| impute |
Impute missing values using a probabilistic suffix tree |
| impute-method |
Impute missing values using a probabilistic suffix tree |
| lnobs |
Extract the number of observations to which a VLMC model is fitted |
| logLik |
Log-Likelihood of a variable length Markov chain model |
| logLik-method |
Log-Likelihood of a variable length Markov chain model |
| nobs-method |
Extract the number of observations to which a VLMC model is fitted |
| nodenames |
Retrieve the node labels of a PST |
| nodenames-method |
Retrieve the node labels of a PST |
| pdist |
Compute probabilistic divergence between two PST |
| pdist-method |
Compute probabilistic divergence between two PST |
| plot-method |
Mining contexts |
| plot-method |
Plot a PST |
| pmine |
PST based pattern mining |
| pmine-method |
PST based pattern mining |
| ppplot |
Plotting a branch of a probabilistic suffix tree |
| ppplot-method |
Plotting a branch of a probabilistic suffix tree |
| pqplot |
Prediction quality plot |
| pqplot-method |
Prediction quality plot |
| predict |
Compute the probability of categorical sequences using a probabilistic suffix tree |
| predict-method |
Compute the probability of categorical sequences using a probabilistic suffix tree |
| print |
Print method for objects of class 'PSTf' and 'PSTr' |
| print-method |
Print method for objects of class 'PSTf' and 'PSTr' |
| prune |
Prune a probabilistic suffix tree |
| prune-method |
Prune a probabilistic suffix tree |
| PSTf-class |
Flat representation of a probabilistic suffix tree |
| PSTr-class |
Nested representation of a probabilistic suffix tree |
| pstree |
Build a probabilistic suffix tree |
| pstree-method |
Build a probabilistic suffix tree |
| query |
Retrieve counts or next symbol probability distribution |
| query-method |
Retrieve counts or next symbol probability distribution |
| round-method |
Retrieve counts or next symbol probability distribution |
| s1 |
Example sequence data set |
| SRH |
Longitudinal data on self rated health |
| SRH.seq |
Longitudinal data on self rated health |
| subtree |
Extract a subtree from a segmented PST |
| subtree-method |
Extract a subtree from a segmented PST |
| summary-method |
Summary of variable length Markov chain model |
| tune |
AIC, AICc or BIC based model selection |
| tune-method |
AIC, AICc or BIC based model selection |
| [-method |
Mining contexts |
| [[-method |
Nested representation of a probabilistic suffix tree |