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cfda (version 0.11.0)

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

284

Version

0.11.0

License

AGPL-3

Maintainer

Quentin Grimonprez

Last Published

October 7th, 2023

Functions in cfda (0.11.0)

Extract the state of each individual at a given time

Plot the number of jumps

Convert a matrix to a cfda data.frame

Extract the computed encoding

Plot the transition graph

Plot the optimal encoding

Predict the principal components for new trajectories

Print a fmca object

Plot probabilities

Plot Components

plotEigenvalues

Plot Eigenvalues

Plot categorical functional data

Table of transitions

Object Summaries

remove_duplicated_states

Remove duplicated states

Care trajectories

compute_optimal_encoding

Compute the optimal encoding for each state

compute_time_spent

Compute time spent in each state

compute_number_jumps

Compute the number of jumps

boxplot.timeSpent

Boxplot of time spent in each state

compute_duration

Compute duration of individuals

Convert data to categorical functional data

Cut data to a maximal given time

estimate_Markov

Estimate transition matrix and spent time

Estimate probabilities to be in each state

generate_2State

Generate data following a 2 states model

Categorical Functional Data Analysis

Family life states from the Swiss Household Panel biographical survey

generate_Markov

Generate Markov Trajectories

Plot the duration