valipars {mt} | R Documentation |
Generate the control parameters for resampling process.
valipars(sampling="cv", niter=10, nreps=10, strat=FALSE,div = 2/3)
sampling |
Sampling scheme. Valid options are:
|
niter |
Number of iteration or repeat for validation. |
nreps |
Number of replications in each iteration. |
strat |
A logical value indicating whether the stratification should be applied to |
div |
Proportion of data used for training in randomised validation method. |
valipars
provides a list of control parameters for the resampling or validation
in the process of accuracy evaluation or feature selection process.
An object of class valipars
containing all the above
parameters (either the defaults or the user specified values).
Wanchang Lin
## generate control parameters for the re-sampling scheme with 5-fold
## cross-validation and iteration of 10 times
valipars(sampling = "cv", niter = 10, nreps = 5)
## generate control parameters for the re-sampling scheme with
## 25-replication bootstrap and iteration of 100 times
valipars(sampling = "boot", niter = 100, nreps = 25,strat=TRUE)
## generate control parameters for the re-sampling scheme with
## leave-one-out cross-validation
valipars(sampling = "loocv")