AMK: Additive Multiplicative Kernel Regression

In nitesh-1507/DSWE: Data Science for wind energy

Description

Additive Multiplicative Kernel Regression

Usage

AMK(
  trainX,
  trainY,
  testX,
  bw = "dpi_gap",
  nMultiCov = 3,
  fixedCov = c(1, 2),
  cirCov = NA
)

Arguments

trainX	a matrix or dataframe to be used in modelling
trainY	a numeric or vector as a target
testX	a matrix or dataframe, to be used in computing the predictions
bw	a vector or character input. If character, the input should be 'dpi' or 'dpi_gap'
nMultiCov	a numerical value specifying the number of covariates in multiplicative term
fixedCov	a vector or numeric specifying the fixed covariates column number, default value is NA

nitesh-1507/DSWE documentation built on April 16, 2020, 5:28 p.m.