predict_new_ind_group_model: function used to predict the group for new individuals based...

In acweisha/gFPCAClassif: Classification of Binary Functional Data

Description

function used to predict the group for new individuals based on the latent states and the fitted gAR models

Usage

predict_new_ind_group_model(i, l, p, models_ls, s_mat_test, static_test = NA)

Arguments

i	index of the current individual
l	the group which is currently being used
p	the lag of the current models
models_ls	Fitted gAR models for the various groups
s_mat_test	estimated latent state data used to predict the gAR model
static_test	dataframe containing the information of covariates which one would like to include in the gAR model

Value

Predicted probability of being in group l for the new individuals

acweisha/gFPCAClassif documentation built on Dec. 18, 2021, 10:23 p.m.