每次我尝试使用"mlogit“在这些数据上运行混合logit模型时,我都会得到这个错误,并且我找不到我遗漏了什么。这是一个关于车辆的联合调查的离散选择数据。使用效果编码对数据进行编码。下面是我为mlogit准备数据的方式:
DATA <- mlogit.data(data, id.var="id", shape="long", choice="choice", alt.var="alt")
> head(DATA)
id Task alt Answer choice Price2 Price3 Price4 Price5 American Japanese
1.1 1 1 1 3 FALSE 0 0 1 0 0 0
1.2 1 1 2 3 FALSE 0 0 0 1 0 0
1.3 1 1 3 3 TRUE -1 -1 -1 -1 -1 -1
2.1 1 2 1 1 TRUE -1 -1 -1 -1 0 0
2.2 1 2 2 1 FALSE 0 1 0 0 1 0
2.3 1 2 3 1 FALSE 0 0 1 0 0 1
Chinese SKorean HEV PHEV10 PHEV20 PHEV40 EV75 EV100 EV150 F20 F30 FNA s6
1.1 0 1 0 1 0 0 0 0 0 1 0 0 1
1.2 1 0 0 0 0 1 0 0 0 0 1 0 -1
1.3 -1 -1 0 0 0 0 1 0 0 0 0 1 1
2.1 1 0 0 1 0 0 0 0 0 0 1 0 -1
2.2 0 0 0 0 0 0 0 1 0 1 0 0 1
2.3 0 0 0 0 1 0 0 0 0 -1 -1 -1 0
s10 eff2 eff3 eff4 accel2 accel3 accel4
1.1 0 0 0 1 1 0 0
1.2 -1 -1 -1 -1 0 0 1
1.3 0 1 0 0 -1 -1 -1
2.1 -1 0 1 0 1 0 0
2.2 0 0 1 0 -1 -1 -1
2.3 1 -1 -1 -1 0 1 0当我运行这个命令时,下面是我得到的错误:
> mixed.est <- mlogit(choice ~ Price2 + Price3 + Price4 + Price5 + American + Japanese +
Chinese + SKorean + HEV + PHEV10 + PHEV20 + PHEV40 + EV75 + EV100 + EV150 + F20 + F30 +
FNA + s6 + s10 + eff2 + eff3 + eff4 + accel2 + accel3 + accel4|0, DATA,
rpar=c(Price2='n', Price3='n', Price4='n', Price5='n', American='n', Japanese='n',
Chinese='n', SKorean='n', HEV='n', PHEV10='n', PHEV20='n', PHEV40='n', EV75='n',
EV100='n', EV150='n', F20='n', F30='n', FNA='n', S6='n', S10='n', eff2='n', eff3='n',
eff4='n', accel2='n', accel3='n', accel4='n'), R=100, halton=NA, print.level=0, panel=F)
Error in rep(halt, prime - 1) : invalid 'times' argument发布于 2013-01-30 23:10:00
我认为你使用了太多的随机参数(25)。然而,旧版本的mlogit可以估计具有较大参数维度的模型,但许多参数=高度相关的halton绘图(在尺寸上),因此“标准halton绘图”可能不适合您的目的。(见列车2009,第231-235页)最佳dg
https://stackoverflow.com/questions/11037907
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