Categorical Functional Data Analysis
Boxplot of time spent in each state
Categorical Functional Data Analysis
Compute duration of individuals
Compute the number of jumps
Compute the optimal encoding for each state
Compute time spent in each state
Convert data to categorical functional data
Cut data to a maximal given time
Estimate transition matrix and spent time
Estimate probabilities to be in each state
Generate data following a 2 states model
Generate Markov Trajectories
Extract the computed encoding
Extract the state of each individual at a given time
Plot the duration
Plot the number of jumps
Convert a matrix to a cfda data.frame
Plot the optimal encoding
Plot the transition graph
Plot probabilities
Plot Components
Plot categorical functional data
Plot Eigenvalues
Plot reconstructed indicators
Predict the principal components for new trajectories
Print a fmca object
Reconstruct the indicators using encoding
Remove duplicated states
Table of transitions
Summary
Object Summaries
Package for the analysis of categorical functional data. The main purpose is to compute an encoding (real functional variable) for each state <doi:10.3390/math9233074>. It also provides functions to perform basic statistical analysis on categorical functional data.