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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## 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 0.066These 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.
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