compatibility-aliases: Backward Compatibility Aliases for Model Drivers
In flexmix: Flexible Mixture Modeling

compatibility-aliases

R Documentation

Backward Compatibility Aliases for Model Drivers

Description

These functions are renamed versions of model drivers included for backward compatibility.

Usage

FLXglm(formula = . ~ .,
       family = c("gaussian", "binomial", "poisson", "Gamma"),
       offset = NULL)
FLXglmFix(formula = . ~ ., fixed = ~0, varFix = FALSE, nested = NULL, 
          family = c("gaussian", "binomial", "poisson", "Gamma"),
          offset = NULL)
FLXmclust(formula = . ~ ., diagonal = TRUE)
FLXbclust(formula = . ~ ., truncated = FALSE)
FLXconstant()
FLXmultinom(formula = ~1)

Arguments

`formula`	For component model drivers, a formula which is interpreted relative to the formula specified in the call to `flexmix` using `update.formula`. Default is to use the original `flexmix` model formula. For concomitant model drivers, a formula for determining the model matrix of the concomitant variables.
`family`	A character string naming a `glm` family function.
`offset`	This can be used to specify an a priori known component to be included in the linear predictor during fitting.
`fixed`	A formula which specifies the additional regressors for the fixed (constant) coefficients.
`varFix`	A logical indicating if the variance estimate for Gaussian components should be constrained to be equal for all components. It can be also a vector specifying the number of components with equal variance.
`nested`	An object of class `FLXnested` or a list specifying the nested structure.
`diagonal`	If `TRUE`, then the covariance matrix of the components is restricted to diagonal matrices.
`truncated`	A logical, if `TRUE` the observations for the pattern with only zeros are missing and the truncated likelihood is optimized using an EM-algorithm.