I'm trying to use the glmnet package on a dataset. I'm using cv.glmnet() to get a lambda value for glmnet(). I'm excluding columns 1,2,7,12 as they are: id column, response column, contain NA's, an...

I have 2 data frames in R with epigenetic data. To use one of them as a train set and the other as a test set in the glmnet package, the column number if them have to match. As both of the data fra...

In the last few months I've worked on a number of projects where I've used the glmnet package to fit elastic net models. It's great, but the interface is rather bare-bones compared to most R modell...

I am running the following (truncated) code using glmnet in R # do a lot of things to create the design matrix called x.design > glmnet(x.design, y, thresh=1e-11) where x.design is a n x p d...

I would like to extract the glmnet generated model coefficients and create a SQL query from them. The function coef(cv.glmnet.fit) yields a 'dgCMatrix' object. When I convert it to a matrix using a...

I am trying to create a model using glmnet, (currently using cv to find the lambda value) and I am getting an error NA/NaN/Inf in foreign function call (arg 5). I believe this has something to do w...

My problem I would like to build a logistic regression model with a high AUC in predicting a binary variable. I would like to use the following approach (if feasible): Use an elastic net model (gl...

I am performing lasso regression in R using glmnet package: fit.lasso <- glmnet(x,y) plot(fit.lasso,xvar="lambda",label=TRUE) Then using cross-validation: cv.lasso=cv.glmnet(x,y) plot(cv...

The glmnet package uses a range of LASSO tuning parameters lambda scaled from the maximal lambda_max under which no predictors are selected. I want to find out how glmnet computes this lambda_max v...

I have a set of multicollinear variables and I'm trying to use ridge regression to tackle that. I am using the glmnet package in R with alpha = 0 (for ridge regression). library(glmnet) I have ...

I'm having an issue with glmnet in that I keep getting the error message "Error in elnet(x, is.sparse, ix, jx, y, weights, offset, type.gaussian, : NA/NaN/Inf in foreign function call (arg 5) In ...

it just reports: Cholmod error 'X and/or Y have wrong dimensions' at file ../MatrixOps/cholmod_sdmult.c, line 90. i don't know why. x.m <- data.matrix(train[,c(1:43)]) x.m [is.na(x.m)] &...

I'm trying to build a model with the glmnet package, but I'm getting the following error when I run the following line: #library('glmnet') x = model.matrix(response ~ ., data = acgh_frame[,c(3:nco...

When I am using R, how can I save a model built by glmnet to a file, and then read it from the file so as to use it to predict? Is it also the same if I use cv.glmnet to build the model? Thanks!...

I want to calculate variable importance for glmnet model in R. I am using glmnet package for fitting the elastic net model like library(glmnet) library(caret) library(vip) data_y <- as.vector(m...

I'm running an elastic net on a generalized linear model with the glmnet and caret packages in R. My response variable is cost (where cost > $0) and hence I'd like to specify a Gaussian family wi...

I estimated a glmnet logistic regression using tidymodels. But I couldn't figure out 2 things, which are closely related, in tidymodels: a) how to extract the estimated coefficients b) save the es...

When estimating a lasso model via the glmnet package, I am wondering whether it is better to: (a) pull coefficients / predictions / deviance straight from the cv.fit object procured from cv.glmnet,...

I'm sure there is an elegant way to extract the best alpha and lambda after running cva.glmnet but somehow I cannot find it. Here is the code I am using in the meantime. Thank you library(data.t...

I'm wondering if I can get AIC and BIC from GLMNet. I've found glmnet.cr that seems to be able to do it but my response is time, not ordinal. I could calculate it myself from likelihood but glmnet ...

Getting an error when using glmnet in Caret Example below Load Libraries library(dplyr) library(caret) library(C50) Load churn data set from library C50 data(churn) create x and y variables...

I am using following code with glmnet: > library(glmnet) > fit = glmnet(as.matrix(mtcars[-1]), mtcars[,1]) > plot(fit, xvar='lambda') However, I want to print out the coefficients at...

Why there is no possibility to pass only 1 explanatory variable to model in glmnet function from glmnet package when it is possible in glm function from base? Code and error are below: > modelX...

I have been working on a data set and using glmnet for linear LASSO/Ridge regressions. For the sake of simplicity, let's assume that the model I am using is the following: cv.glmnet(train.feature...

I am trying to predict probabilities in a dataset using glmnet. My code reads: bank <- read.table("http://www.stat.columbia.edu/~madigan/W2025/data/BankSortedMissing.TXT",header=TRUE) bank$rich...