-
just adding a link to examples and datasets
http://www4.stat.ncsu.edu/~boos/var.select/
http://www4.stat.ncsu.edu/~boos/var.select/fas.bes.html contains forward and backward selection results in SAS…
-
Train the lass regression model:
1. pull from the branch:
![image](https://user-images.githubusercontent.com/5897919/83253362-b8a5e180-a161-11ea-876b-21fac49b7e42.png)
2. find the folder in …
-
Hey, I am a GSSoC'21 participant and I will like to work on the documentation and implementation of Stepwise Regression. I have already described briefly about this technique in one of my earlier blog…
-
What is the Python statsmodels equivalent for R step() function of stepwise regression with AIC as criteria?
I found a [stepwise regression with p-value as criteria](https://datascience.stackexchan…
-
Currently users have to define each formula explicitely to use the parameter fitting node. Nevertheless it is common habit, that especially for secondary models different formulas are tested and the o…
-
Thank you for creating the package, it's easy to use and the examples are very useful. I want to perform stepwise linear regression using backward elimination to find the optimal model based on the r-…
-
Stepwise, LARS , etc
http://www.lexjansen.com/pnwsug/2008/DavidCassell-StoppingStepwise.pdf
https://www.quora.com/What-is-Least-Angle-Regression-and-when-should-it-be-used
-
- Describe the format of counts and metadata; emphasize the need for sample identifiers to match
- Describe problems with missingness
- Describe how the stepwise regression will consider all variabl…
-
Dear ozgurdoganbirol, I'm so interesting by your code on stepwise regression, but I can't run it to get results. Would you please upload a sample to show how to run your code?
-
Topics could include:
- Bayesian model selection
- Bayesian model averaging
- Stepwise regression vs likelihood ratio tests
- Diagnostics for glms and other models where the residuals are expecte…