mxObj-methods.RdConstructor and accessor functions of univariate mixture distributions, composed of exponential, normal and gamma distributions.
The methods leverage methods from class 'mle2' of package 'bbmle'
fit(object, ...) ecoff(object, ...) rsquared(object, ...) startpar(object, ...) models(object, ...) # S4 method for mxObj coef(object, i = NULL, ...) pstart(obj, ...) # S4 method for mxObj pstart(obj, ...) # S4 method for mxMle summary(object, ...) # S4 method for mxMle vcov(object, ...) # S4 method for mxMle AIC(object, ..., k = 2) # S4 method for mxMle logLik(object, ...) get_data(object, ...) # S4 method for mxMle get_data(object, ...) mxObj(x, type = NA, left = c("e", "n"))
| object | an object of class |
|---|---|
| ... | optional arguments passed to the methods |
| i | index of an individual distribution component |
| obj | an object of class |
| k | penalty parameter (nearly always left at its default value of 2) |
| x | object (vector, list, data.frame) containing mixture distributions in one of sereral known formats. (thpe-todo: document known formats) |
| type | type of the mixture distribution, e.g. "n", "en", "nnn", etc. |
| left | whether leftmost distribution is exponential ("e") or normal ("n") |
mle2-class