Hi all,
I am using the glmnet R package to run LASSO with binary logistic
regression. I have over 290 samples with outcome data (0 for alive, 1 for
dead) and over 230 predictor variables. I currently using LASSO to reduce
the number of predictor variables.
I am using the cv.glmnet function to d
Hi Patrick,
Thanks for the reply. I am referring to using the cv.glmnet() function with
10-fold cross validation and letting glmnet determine the lambda sequence.
The optimal lambda that it is returning fluctuates between different runs of
cv.glmnet. Sometimes the model that is return deviates
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