| Name : R-olr
| |
| Version : 1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.3.7
| Date : 2024-06-14 11:30:07
|
| Group : Development/Libraries/Other
| Source RPM : R-olr-1.1-lp153.3.7.src.rpm
|
| Size : 0.03 MB
| |
| Packager : (none)
| |
| Summary : Optimal Linear Regression
|
Description :
The optimal linear regression olr(), runs all the possible combinations
of linear regression equations. The olr() returns the equation which
has the greatest adjusted R-squared term or the greatest R-squared term
based on the user\'s discretion. Essentially, the olr() returns the best
fit equation out of all the possible equations. R-squared increases
with the addition of an explanatory variable whether it is
\'significant\' or not, thus this was developed to eliminate that
conundrum. Adjusted R-squared is preferred to overcome this phenomenon,
but each combination will still produce different results and this will
return the best one. Complimentary functions are included which list
all of the equations, all of the equations in ascending order, a
function to give the user a specific model\'s summary, and the list of
adjusted R-squared terms & R-squared terms. A \'Python\' version is
available at: < https://pypi.org/project/olr/>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
