des_func_grad_norm2_mean: Test desirability functions
In CollinErickson/AdaptCompExp: Run adaptive computer experiments
View source: R/adaptconcept2_sFFLHD_R6_desfuncs.R
Description
A des func for finding large gradient
Usage
1
des_func_grad_norm2_mean(mod, XX, return_se = F)
Arguments
mod
model
XX
Design matrix
to predict both at once instead of separately
return_se
whether the se prediction should be returned along with
the des, all will be returned in data.frame, this will save
time if calculating the werror function since it is faster
CollinErickson/AdaptCompExp documentation built on April 13, 2020, 4:53 p.m.
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View source: R/adaptconcept2_sFFLHD_R6_desfuncs.R
Description
A des func for finding large gradient
Usage
1 | des_func_grad_norm2_mean(mod, XX, return_se = F)
|
Arguments
mod |
model |
XX |
Design matrix to predict both at once instead of separately |
return_se |
whether the se prediction should be returned along with the des, all will be returned in data.frame, this will save time if calculating the werror function since it is faster |
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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