bootstrapCV2: Bootstrap cross-validation with bias correlation (70%,30%)
In etiennelalechere/maturitymodelling: Forest maturity modelling
bootstrapCV2 R Documentation
Bootstrap cross-validation with bias correlation (70%,30%)
Description
Evaluation of root mean square error of prediction (RMSEP) for training and validation folds
Usage
bootstrapCV(response,predictors,mtr,nrep)
Arguments
response
predicted variable.
predictors
set of predictors.
mtr
mtr response parameter.
nrep
number of iteration.
cor.method
character, "spearman" or "pearson"
Value
RMSEP data frame.
etiennelalechere/maturitymodelling documentation built on Dec. 9, 2022, 8:02 p.m.
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| bootstrapCV2 | R Documentation |
Bootstrap cross-validation with bias correlation (70%,30%)
Description
Evaluation of root mean square error of prediction (RMSEP) for training and validation folds
Usage
bootstrapCV(response,predictors,mtr,nrep)
Arguments
response |
predicted variable. |
predictors |
set of predictors. |
mtr |
mtr response parameter. |
nrep |
number of iteration. |
cor.method |
character, "spearman" or "pearson" |
Value
RMSEP data frame.
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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