lava (version 1.6)

cv: Cross-validation

Description

Cross-validation

Usage

cv(modelList, data, K = 5, rep = 1, perf, seed = NULL, mc.cores = 1,
  ...)

Arguments

modelList

List of fitting functions or models

data

data.frame

K

Number of folds (default 5)

rep

Number of repetitions (default 1)

perf

Performance measure (default RMSE)

seed

Optional random seed

mc.cores

Number of cores used for parallel computations

...

Additional arguments parsed to models in modelList and perf

Details

Generic cross-validation function

Examples

# NOT RUN {
f0 <- function(data,...) lm(...,data)
f1 <- function(data,...) lm(Sepal.Length~Species,data)
f2 <- function(data,...) lm(Sepal.Length~Species+Petal.Length,data)
x <- cv(list(m0=f0,m1=f1,m2=f2),rep=10, data=iris, formula=Sepal.Length~.)
x2 <- cv(list(f0(iris),f1(iris),f2(iris)),rep=10, data=iris)
# }