我尝试从gmnl
参考手册示例中估计潜在类多项式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")也适用
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
发布于 2020-08-19 23:34:45
我得到了相同的错误信息。
问题似乎与mlogit-package有关。
在返回到mlogit的前一个版本(1.0-2)后,我能够运行代码。您可以使用以下代码安装此版本:
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,这只是一种临时的解决方法。
https://stackoverflow.com/questions/63446118
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