search for: mclogit

Hello, I am new to R and am trying to complete a mixed conditional logistic regression. There are two issues that I am currently having: 1. I am not sure how to insert the random effects variable into the equation. My current equation is model<-mclogit(Presence~AllWet+AllAg+strata(Pair)) where Presence is a binary value (present or absent), AllWet and AllAg shows the proportion of the location polygons covered by each habitat type, and Pair is showing the paired used and random polygons. The random effects that I want to control for are Bird ID (...

...er treatment A or treatment B. The attributes of treatment A and treatment B generally vary from one task to the next. The data also contain some of the predictors that that are presumed to influence patient choices (chance of side effects, duration of side effects, severity of side effects).   The mclogit package seems like a possible avenue for conducting my analysis. The code below appears to be properly specified and produces some intuitive results. Even with only 4 respondents, there appears to be a tendency for patients to prefer treatments with a low chance of side effects, a short duration of...

...eBoost, GBlockBoost and ForwardBoost. * magnets (0.1) Hai Qian http://crantastic.org/packages/magnets Given positions and other properties of a series of micro-magnet spins, we can simulate the evolution of the system under the influence of external field or fixed external magnets. * mclogit (0.2-2) Martin Elff http://crantastic.org/packages/mclogit This packages provides a function to estimate parameters for the mixed conditional logit model, or conditional logit with random effects. The current implementation is limited to random intercepts and to the PQL technique, main...