nb_updated: Function: Estimate predicted values for a given value of...

In acweisha/gFPCAClassif: Classification of Binary Functional Data

Description

Function: Estimate predicted values for a given value of scaling parameter h

Usage

nb_updated(
  scores,
  classes,
  prior_g,
  scores_test,
  s_mat_hat_train,
  s_mat_hat_test,
  alpha_js = NA,
  h = 1.06,
  P_max = 3,
  static_train = NA,
  static_test = NA
)

Arguments

scores	N x K matrix of scores in the training set
classes	Group labels vector of length N
prior_g	vector of prior probability of being in each group, sums up to 1
scores_test	N_test x K matrix of scores in the testing set
s_mat_hat_train	matrix of estimated S latent state values training set
s_mat_hat_test	matrix of estimated S latent state values testing set
alpha_js	Estimated probability of latent states across the realizations
h	multiplier for kernel based density function
P_max	Lag in the gAR models
static_train	Covariates for the classifier in the training set accounts
static_test	Covariates for the classifier in the testing set accounts

Value

Predicted groups for the individuals

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