Closed MarkovCredit closed 6 years ago
Thank you for interesting in this package. You can install it from CRAN via install.packages("scorecard")
. If you still can't install it, show me the error message.
Since this issue is a very basic question, I close it now.
The error is "this package is not available under R 3.4.1"
On Dec 2, 2017 9:46 PM, "Shichen" notifications@github.com wrote:
Thank you for interesting in this package. You can install it from CRAN via install.packages("scorecard"). If you still can't install it, show me the error message.
— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/ShichenXie/scorecard/issues/2#issuecomment-348742211, or mute the thread https://github.com/notifications/unsubscribe-auth/AaXoXrhTOVgGhP_qMRCpCmaD_iSITfQjks5s8jWwgaJpZM4QvhEp .
Did you still have this problem? I'm using the latest version of R. If you still can't install this package, try to update your R
No, the package is working.
Thank you for checking!
Curious if there are any other algorithms that can be used in R for scorecard like random Forest or SBG?
On Apr 19, 2018 4:26 AM, "Shichen" notifications@github.com wrote:
Did you still have this problem? I'm using the latest version of R. If you still can't install this package, try to update your R
— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/ShichenXie/scorecard/issues/2#issuecomment-382653154, or mute the thread https://github.com/notifications/unsubscribe-auth/AaXoXg-sk0Wn9YDE3s9w5OepFdlCa8P1ks5tqEo8gaJpZM4QvhEp .
Actually, scorecard is a model using woe values in logistic regression. Of course, you can use other algorithms with woe values as input dataset.
But, I don't know how woe transformation affects the model robustness. You can compare it with other data preprocessing in those algorithms.
I cannot install this package in either R studio or Visual Studio with R Tools. THe package is supposedly "unavailable" ? Please advise.
Best,
ML