fit_ajs_model: function used to train the gAR models

In acweisha/gFPCAClassif: Classification of Binary Functional Data

Description

function used to train the gAR models

Usage

fit_ajs_model(l, j_lags, s_mat_train, aic = F, classes, static_train = NA)

Arguments

l	the group which is currently being used to fit gAR models
j_lags	the lag used in the gAR
s_mat_train	estimated latent state data used to fit the gAR model
aic	T/F to return the AIC of the model
classes	vector of the classes
static_train	dataframe containing the information of covariates which one would like to include in the gAR model

Value

Fitted gAR model

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