LICORS: predict_FLC_given_PLC – R documentation

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LICORS

predict_FLC_given_PLC

Predict FLCs given new PLCs

Description

This function predicts FLCs given new PLCs based on the estimated ε 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

LICORS

Light Cone Reconstruction of States - Predictive State Estimation From Spatio-Temporal Data

v0.2.0

GPL-2

Authors

Georg M. Goerg <gmg@stat.cmu.edu>

Initial release

2013-11-20

predict_FLC_given_PLC

Description

Usage

Arguments

Value

LICORS

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