R: Categorical Functional Data Analysis

# Categorical Functional Data Analysis

## Documentation for package ‘cfda’ version 0.11.0

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

## Help Pages

cfda-package | Categorical Functional Data Analysis
biofam2 | Family life states from the Swiss Household Panel biographical survey
boxplot.timeSpent | Boxplot of time spent in each state
care | Care trajectories
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.fmca | Plot the optimal encoding
plot.Markov | Plot the transition graph
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