pcmPoolSPCV: Pool PCM spatial cross-validation results
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
Creates a summary of the frequency and performance (relative error) of optimal parameter
sets across spatial cross-validation repetitions.
Usage
1
pcmPoolSPCV(x, plot_freq = FALSE)
Arguments
x
The (list) result of pcmSPCV()
plot_freq
logical. if TRUE, will a create bubble plot of optimal parameter
set frequencies across grid search space
Value
A data frame summarizing the frequency and performance of each
optimal parameter sets
jngtz/runout.opt documentation built on Sept. 8, 2021, 2:15 p.m.
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Description Usage Arguments Value
View source: R/pcm_spatial_cross_validation.R
Description
Creates a summary of the frequency and performance (relative error) of optimal parameter sets across spatial cross-validation repetitions.
Usage
1 | pcmPoolSPCV(x, plot_freq = FALSE)
|
Arguments
x |
The (list) result of pcmSPCV() |
plot_freq |
logical. if TRUE, will a create bubble plot of optimal parameter set frequencies across grid search space |
Value
A data frame summarizing the frequency and performance of each optimal parameter sets
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.
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