| Name : R-multisite.accuracy
| |
| Version : 1.3
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp156.1.1
| Date : 2024-09-10 03:41:31
|
| Group : Development/Libraries/Other
| Source RPM : R-multisite.accuracy-1.3-lp156.1.1.src.rpm
|
| Size : 0.04 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Estimation of Accuracy in Multisite Machine-Learning Models
|
Description :
The effects of the site may severely bias the accuracy of a multisite
machine-learning model, even if the analysts removed them when fitting
the model in the \'training set\' and applying the model in the \'test
set\' (Solanes et al., Neuroimage 2023, 265:119800). This simple R
package estimates the accuracy of a multisite machine-learning model
unbiasedly, as described in (Solanes et al., Psychiatry Research:
Neuroimaging 2021, 314:111313). It currently supports the estimation of
sensitivity, specificity, balanced accuracy (for binary or multinomial
variables), the area under the curve, correlation, mean squarer error,
and hazard ratio for binomial, multinomial, gaussian, and survival
(time-to-event) outcomes.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
