getMSE: calculating Mean Squared Errors (MSE)
In shuaih0303/IBOSS: An implementation of information based optimal subsampling method.
Description
calculating Mean Squared Errors (MSE)
Usage
1
Arguments
case
integer. Distribution to generate full data.
n
integer. Full data size.
k
integer. Subsample size.
p
integer. Number of predictors.
rept
integer. Repeat times, defualt is 100.
compare
logical. If True, output comparisons to other subsampling methods; Otherwise, output iboss sampling results only.
shuaih0303/IBOSS documentation built on Nov. 17, 2019, 2:55 a.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
calculating Mean Squared Errors (MSE)
Usage
1 |
Arguments
case |
integer. Distribution to generate full data. |
n |
integer. Full data size. |
k |
integer. Subsample size. |
p |
integer. Number of predictors. |
rept |
integer. Repeat times, defualt is 100. |
compare |
logical. If True, output comparisons to other subsampling methods; Otherwise, output iboss sampling results only. |
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.