finetune_LMM: Fine tune LMM
In courtiol/rangeRinPA: Protected Area Personnel and Ranger Numbers are Insufficient to Deliver Global Expectations
View source: R/fine_tunning_LMM.R
finetune_LMM R Documentation
Fine tune LMM
Description
Fine tune LMM
Usage
finetune_LMM(formula, data, spatial, rep = 10, Ncpu = 1, seed = 123)
Arguments
formula
a model formula used to fit the data
data
the full dataset
spatial
either FALSE (default) or TRUE
rep
the number of cross validation replicates (default = 10)
Ncpu
the number of CPU cores to be used (default = 1)
seed
the seed used to control the reproducibility of the cross validation
courtiol/rangeRinPA documentation built on Sept. 29, 2022, 9:54 a.m.
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View source: R/fine_tunning_LMM.R
| finetune_LMM | R Documentation |
Fine tune LMM
Description
Fine tune LMM
Usage
finetune_LMM(formula, data, spatial, rep = 10, Ncpu = 1, seed = 123)
Arguments
formula |
a model formula used to fit the data |
data |
the full dataset |
spatial |
either FALSE (default) or TRUE |
rep |
the number of cross validation replicates (default = 10) |
Ncpu |
the number of CPU cores to be used (default = 1) |
seed |
the seed used to control the reproducibility of the cross validation |
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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