predict.cv.ahm: Predict method for the fitted cv.ahm object

In AHM: Additive Heredity Model: Method for the Mixture-of-Mixtures Experiments

Description

Predict method for the fitted cv.ahm object

Usage

## S3 method for class 'cv.ahm'
predict(object, newx, metric = "mse", ...)

Arguments

object	cv.ahm object
newx	Matrix of new values for x at which predictions are to be made.
metric	"mse" or "aicc"
...	not used

Value

Return a list

Examples

data("pringles_fat")
data_fat = pringles_fat
h_tmp = 1.3
x = data_fat[,c("c1","c2","c3","x11","x12","x21","x22")]
y = data_fat[,1]
powerh_path = round(seq(0.001,2,length.out =15),3)
num_major = 3; dist_minor = c(2,2,1)
res = cv.ahm (y, x, powerh_path=powerh_path, metric = "mse", num_major, dist_minor, type = "weak"
, alpha=0, lambda_seq=seq(0,5,0.01), nfolds=NULL, mapping_type = c("power"), rep_gcv=100)
pred = predict(res)

AHM documentation built on July 28, 2019, 9:02 a.m.