# 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 0.103 0.021
    ## 2     0   1  200   20 0.036  0.22 0.122 0.349 0.058
    ## 3     1   0  200   20 0.120  0.73 0.569 0.843 0.067