Function reference • cfda

All functions
`biofam2`	Family life states from the Swiss Household Panel biographical survey
`boxplot(<timeSpent>)`	Boxplot of time spent in each state
`care`	Care trajectories
`cfda-package`	Categorical Functional Data Analysis
`compute_duration()`	Compute duration of individuals
`compute_number_jumps()`	Compute the number of jumps
`compute_optimal_encoding()`	Compute the optimal encoding for each state
`compute_time_spent()`	Compute time spent in each state
`convertToCfd()`	Convert data to categorical functional data
`cut_data()`	Cut data to a maximal given time
`estimate_Markov()`	Estimate transition matrix and spent time
`estimate_pt()`	Estimate probabilities to be in each state
`flours`	Flours dataset
`generate_2State()`	Generate data following a 2 states model
`generate_Markov()`	Generate Markov Trajectories
`get_encoding()`	Extract the computed encoding
`get_state()`	Extract the state of each individual at a given time
`hist(<duration>)`	Plot the duration
`hist(<njump>)`	Plot the number of jumps
`matrixToCfd()`	Convert a matrix to a cfda data.frame
`plot(<Markov>)`	Plot the transition graph
`plot(<fmca>)`	Plot the optimal encoding
`plot(<pt>)`	Plot probabilities
`plotComponent()`	Plot Components
`plotData()`	Plot categorical functional data
`plotEigenvalues()`	Plot Eigenvalues
`predict(<fmca>)`	Predict the principal components for new trajectories
`print(<fmca>)`	Print a `fmca` object
`remove_duplicated_states()`	Remove duplicated states
`statetable()`	Table of transitions
`summary(<fmca>)`	Object Summaries
`summary_cfd()`	Summary

Reference

All functions