Generic function for visualizing the effects of concomitant variables in finite mixture models.

`effectsplot(object, …)`

object

Fitted model object.

…

Arguments passed to `plot.eff`

,
`plot.efflist`

, or `plot.effpoly`

.

`effectsplot`

is set up to be both an S3 and S4 generic.
The idea is that it provides the glue needed to extract the concomitant
part from a mixture model: First, the concomitant model is
refitted as a `multinom`

object or `glm`

object (in case of
a mixture with two components). Second, `effect`

or `allEffects`

from the effects package
is called to extract the effects of the concomitants. Third,
the corresponding `plot`

methods from the effects
package create the display.

Currently, this is implemented for `raschmix`

,
`btmix`

, and `mptmix`

objects. The interface is not
yet fully tested and may change in future versions.

Fox, J. (2003). Effect Displays in R for Generalised Linear Models.
*Journal of Statistical Software*, **8**(15), 1--27.
http://www.jstatsoft.org/v08/i15/

Fox, J., and Hong, J. (2009). Effect Displays in R for Multinomial
and Proportional-Odds Logit Models: Extensions to the effects Package.
*Journal of Statistical Software*, **32**(1), 1--24.
http://www.jstatsoft.org/v32/i01/

# NOT RUN { ## data on party preferences in Germany ## (omit single observation with education = 1) data("GermanParties2009", package = "psychotools") gp <- subset(GermanParties2009, education != "1") gp$education <- factor(gp$education) ## fit Bradley-Terry mixture, see ?btmix for more details ## and a fully-worked example suppressWarnings(RNGversion("3.5.0")) set.seed(2) cm4 <- btmix(preference ~ gender + education + age + crisis, data = gp, k = 4, nrep = 1) ## inspect mixture and effects library("lattice") xyplot(cm4) effectsplot(cm4) ## vis effects package directly if(require("effects")) { eff4 <- allEffects(cm4) plot(eff4) } # }