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margins.dat.clogit

Computes predicted probabilities for conditional and rank-order/exploded logistic regression models. Inference is based upon simulation techniques. Alternatively, bootstrapping is an option for conditional logistic regression models.

library(catregs)
library(Epi)
data("LF06travel")
m1 <- clogistic(choice ~ train + bus + time  + invc, strata=id, data=LF06travel)
design <- data.frame(train=c(0,0,1),bus=c(0,1,0),time=200,invc=20)
design

##   train bus time invc
## 1     0   0  200   20
## 2     0   1  200   20
## 3     1   0  200   20

margins.dat.clogit(m1,design)

##   train bus time invc    lp probs    ll    ul    se
## 1     0   0  200   20 0.008  0.05 0.023 0.101 0.021
## 2     0   1  200   20 0.036  0.22 0.123 0.348 0.057
## 3     1   0  200   20 0.120  0.73 0.588 0.840 0.066

ma1<-margins.dat.clogit(m1,design,run.boot="yes")
names(ma1)

## [1] "des"       "boot.dist"

ma1$des

##   train bus time invc    lp probs    ll    ul    se ll.boot ul.boot
## 1     0   0  200   20 0.008  0.05 0.023 0.101 0.021   0.021   0.021
## 2     0   1  200   20 0.036  0.22 0.123 0.348 0.057   0.057   0.057
## 3     1   0  200   20 0.120  0.73 0.588 0.840 0.066   0.066   0.066

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.