give_id: function to decode which group or observation was classified...

In hyreg2: Estimate Latent Classes on a Mixture of Continuous and Dichotomous Data

function to decode which group or observation was classified to which class by the model

Description

This function can be used to decode the classified classes by the model generates using hyreg2 or hyreg2_het and see, which group or observation was signed to which class

Usage

give_id(data, model, id_col = NULL)

Arguments

data	a dataframe, which was used to estimate the model
model	a flexmix modelobject estimated using hyreg2() or hyreg2_het()
id_col	character string, name of grouping variable, which must be a column of the provided data. the parameter must be specified, if the provided model was estimated under control for groups

Value

dataframe of two columns, first column named as provided id_col or "observation" if id_col was not given as an input. second column named "mod_comp" indicating the assigned class for this group or observation

Author(s)

Svenja Elkenkamp & John Grosser

Examples

# estimate a model using simulated_data_rnorm

### using grouping variable id ####
formula <- y ~  -1 + x1 + x2 + x3 | id
k <- 1
stv <- setNames(c(0.2,0.2,0.2,1,1),c(colnames(simulated_data_norm)[3:5],c("sigma","theta")))
control <- list(iter.max = 1000, verbose = 4)

hyflex_mod <- hyreg2(formula = formula,
                    data =  simulated_data_norm,
                    type =  simulated_data_norm$type,
                    stv = stv,
                    k = k,
                    type_cont = "TTO",
                    type_dich = "DCE_A",
                    opt_method = "L-BFGS-B",
                    control = control,
                    latent = "both",
                    id_col = "id"
)
# use of function give_id
give_id(data = simulated_data_norm,
model = hyflex_mod,
id_col = "id")

hyreg2 documentation built on Nov. 5, 2025, 7:38 p.m.