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LICORS (version 0.2.0)

predict_FLC_given_PLC: Predict FLCs given new PLCs

Description

This function predicts FLCs given new PLCs based on the estimated \(\epsilon\) mappings and estimated conditional distributions.

Usage

predict_FLC_given_PLC(train = list(data = list(FLC = NULL, PLC = NULL), 
    weight.matrix = NULL, pdfs = list(FLC = NULL, PLC = NULL)), test = list(PLC = NULL, 
    weight.matrix = NULL), type = c("weighted.mean", "mean", "median", "mode"), 
    method = list(FLC = "nonparametric", PLC = "normal"))

Arguments

train

a list of training examples with LC observations (a list of PLC and FLC), weight.matrix, and pdfs

test

a list of test examples with PLC observations and/or the weight.matrix associated with the PLC observations.

method

estimation method for estimating PLC and FLC distributions

type

prediction: 'mean', 'median', 'weightedmean', or 'mode'.

Value

\(N \times K\) matrix