问题描述
我正在尝试将一个简单的套索模型与最新的glmnet软件包一起安装.
I am trying to fit a simple lasso model with the latest glmnet package.
我已读取一个csv文件，并将所有数据存储为列表"或矩阵.
I have read in a csv-file and have all my data stored as a "list" or matrix.
我尝试遵循此指南进行实施: https://www.r-bloggers.com/ridge-regression -and-the-lasso/
I tried to follow this guide for the implementation:https://www.r-bloggers.com/ridge-regression-and-the-lasso/
但是当我跑步时:
lasso.mod <- glmnet(b[,2:22], b$power, alpha=1)
我收到以下错误:
在我的输入中:
B只是一个具有23列和大约100000行的矩阵.第一个要点是我想作为解释变量.我在谷歌上搜索了一下，但没有发现太多关于这种类型的错误的信息.有人知道怎么了吗?
B is just a matrix with 23 columns and around 100000 rows. The first colunmn is what I want to have as my explanatory variable. I googled around a bit but did not find so much on this type of error. Anyone knows what is wrong?
推荐答案
最近遇到了同样的错误.
Recently got the same error.
我重新安装了glmnet软件包，并且一切正常.
I reinstalled the glmnet package and everything worked fine.
这篇关于" get_int_parms"不适用于包"glmnet"的.Fortran().的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！