SplinePCFit: Smoothing spline Anova method

In TAMU-AML/DSWE-Package: Data Science for Wind Energy

Smoothing spline Anova method

Description

Smoothing spline Anova method

Usage

SplinePCFit(data, xCol, yCol, testX, modelFormula = NULL)

Arguments

data	a matrix or dataframe to be used in modelling
xCol	a numeric or vector stating the column number of feature covariates
yCol	a numeric value stating the column number of target
testX	a matrix or dataframe, to be used in computing the predictions
modelFormula	default is NULL else a model formula specifying target and features.Please refer 'gss' package documentation for more details

Value

a vector or numeric predictions on user provided test data

Examples

data = data1[c(1:100),]
xCol = 2
yCol = 7
testX = data1[c(101:110), ]
Spline_prediction = SplinePCFit(data, xCol, yCol, testX)

TAMU-AML/DSWE-Package documentation built on Feb. 12, 2024, 11:35 p.m.