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cfda (version 0.12.1)

Categorical Functional Data Analysis

Description

Package for the analysis of categorical functional data. The main purpose is to compute an encoding (real functional variable) for each state . It also provides functions to perform basic statistical analysis on categorical functional data.

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Version

Install

install.packages('cfda')

Monthly Downloads

268

Version

0.12.1

License

AGPL-3

Maintainer

Quentin Grimonprez

Last Published

January 24th, 2025

Functions in cfda (0.12.1)

Plot the number of jumps

estimate_Markov

Estimate transition matrix and spent time

Plot categorical functional data

Plot the duration

Extract the state of each individual at a given time

Plot the transition graph

Plot the optimal encoding

Table of transitions

remove_duplicated_states

Remove duplicated states

plotEigenvalues

Plot Eigenvalues

reconstructIndicators

Reconstruct the indicators using encoding

Print a fmca object

generate_2State

Generate data following a 2 states model

Plot probabilities

Plot Components

plotIndicatorsReconstruction

Plot reconstructed indicators

Object Summaries

Predict the principal components for new trajectories

compute_duration

Compute duration of individuals

Convert data to categorical functional data

Care trajectories

Family life states from the Swiss Household Panel biographical survey

boxplot.timeSpent

Boxplot of time spent in each state

compute_time_spent

Compute time spent in each state

Cut data to a maximal given time

compute_number_jumps

Compute the number of jumps

compute_optimal_encoding

Compute the optimal encoding for each state

Categorical Functional Data Analysis

generate_Markov

Generate Markov Trajectories

Extract the computed encoding

Estimate probabilities to be in each state

Convert a matrix to a cfda data.frame