gmnl潜在类模型R错误“ t.defaultx中的错误:参数不是矩阵”

问题描述

我尝试从gmnl参考手册示例中估算潜在类多项式logit模型,它导致错误"Error in t.default(x) : argument is not a matrix"

其他模型(例如“ mixl”)有效

R版本4.0.2(2020-06-22)-“再次起飞”

平台:x86_64-w64-mingw32 / x64(64位)

data("Electricity",package = "mlogit")

Electr <- mlogit.data(Electricity,id.var = "id",choice = "choice",varying = 3:26,shape = "wide",sep = "")

Elec.lc <- gmnl(choice ~ pf + cl + loc + wk + tod + seas| 0 | 0 | 0 | 1,data = Electr,subset = 1:3000,model = 'lc',panel = TRUE,Q = 2)

#Estimating LC model 
#Error in t.default(x) : argument is not a matrix

解决方法

我收到了相同的错误消息。

问题似乎与mlogit-package有关。

回到以前的mlogit版本(1.0-2)之后,我得以使代码运行。您可以使用以下代码安装该版本:

install.packages("https://cran.r-project.org/src/contrib/Archive/mlogit/mlogit_1.0-2.tar.gz",repos=NULL,type="source")

,然后尝试重新运行潜在类模型:

data("Electricity",package = "mlogit")
Electr <- mlogit.data(Electricity,id.var = "id",choice = "choice",varying = 3:26,shape = "wide",sep = "")
Elec.lc <- gmnl(choice ~ pf + cl + loc + wk + tod + seas | 0 | 0 | 0 | 1,data = Electr,subset = 1:3000,model = "lc",panel = TRUE,Q = 2)
summary(Elec.lc)

但是,这只是一个临时解决方法。