pcmSPCV: Perform (repeated) spatial cross-validation of PCM...
In jngtz/runout.opt: GPP regional runout model optimization and validation in R
Description
Usage
Arguments
Value
View source: R/pcm_spatial_cross_validation.R
Description
Perform (repeated) spatial cross-validation of PCM optimization
Usage
1
Arguments
x
A SpatialPolygonsDataframe
slide_plys
Runout tracks as a SpatialPolygonsDataFrame
n_folds
The number of folds (i.e. partitions)
repetitions
Number of repetitions
from_save
logical. If TRUE, will load save files from current working directory
Value
A vector containing numeric labels defining each fold
jngtz/runout.opt documentation built on Sept. 8, 2021, 2:15 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value
View source: R/pcm_spatial_cross_validation.R
Description
Perform (repeated) spatial cross-validation of PCM optimization
Usage
1 |
Arguments
x |
A SpatialPolygonsDataframe |
slide_plys |
Runout tracks as a SpatialPolygonsDataFrame |
n_folds |
The number of folds (i.e. partitions) |
repetitions |
Number of repetitions |
from_save |
logical. If TRUE, will load save files from current working directory |
Value
A vector containing numeric labels defining each fold
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.