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