I'm new to R, and I'm trying to run a logit model with alternative specific variables and without intercept. I have checked the documentation, but it seems that when I run the model with alternative specific variables, the intercepts are always included. Could anyone kindly tell me how to run the model without intercept? Thanks. Below is what I have tried. I use the data set Fishing in the mlogit package in R.
m.fishing.1 <- mlogit(mode ~ price + catch | income, data = df.fishing, reflevel = "beach");
Use +0 in the model formula specification to exclude an intercept. From the help for mlogit::mFormula():
data("Fishing", package = "mlogit")
Fish <- mlogit.data(Fishing, varying = c(2:9), shape = "wide", choice =
"mode")
f3 <- mFormula(mode ~ price + catch | income + 0)
mlogit(f3,Fish)
...and the output:
> mlogit(f3,Fish)
Call:
mlogit(formula = mode ~ price + catch | income + 0, data = Fish, method = "nr")
Coefficients:
price catch income:boat income:charter income:pier
-2.1597e-02 7.1208e-01 2.1014e-04 2.4498e-04 3.1272e-05
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