| Name : R-AutoStepwiseGLM
| |
| Version : 0.2.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.27.1
| Date : 2024-07-04 11:57:28
|
| Group : Development/Libraries/Other
| Source RPM : R-AutoStepwiseGLM-0.2.0-lp153.27.1.src.rpm
|
| Size : 0.03 MB
| |
| Packager : (none)
| |
| Summary : Builds Stepwise GLMs via Train and Test Approach
|
Description :
Randomly splits data into testing and training sets. Then, uses
stepwise selection to fit numerous multiple regression models on the
training data, and tests them on the test data. Returned for each model
are plots comparing model Akaike Information Criterion (AIC), Pearson
correlation coefficient (r) between the predicted and actual values,
Mean Absolute Error (MAE), and R-Squared among the models. Each model
is ranked relative to the other models by the model evaluation metrics
(i.e., AIC, r, MAE, and R-Squared) and the model with the best mean
ranking among the model evaluation metrics is returned. Model
evaluation metric weights for AIC, r, MAE, and R-Squared are taken in
as arguments as aic_wt, r_wt, mae_wt, and r_squ_wt, respectively. They
are equally weighted as default but may be adjusted relative to each
other if the user prefers one or more metrics to the others, Field, A.
(2013, ISBN:978-1-4462-4918-5).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
