summary.aldvmm {aldvmm}  R Documentation 
Summarizing Adjusted Limited Dependent Variable Mixture Model Fits
Description
The method summary.aldvmm
for the generic function
summary
creates
an object of class "summary.aldvmm" including key results from an object of
class "aldvmm".
Usage
## S3 method for class 'aldvmm'
summary(object, digits = max(3L, getOption("digits")  3L), level = 0.95, ...)
Arguments
object 
an object inheriting from class 'aldvmm'. 
digits 
an integer value of the number of digits in the output table. 
level 
a numeric value of the confidence interval between 0 and 1. 
... 
further arguments passed to or from other methods. 
Value
summary.aldvmm
returns an object of class "summary.aldvmm"
including the following elements.
call 
a character value including the model call captured by

summary 
a data frame generated by

terms 
a list of objects of class

contrasts 
a nested list of character values showing contrasts of factors used in models of component means ("beta") and probabilities of component membership ("delta"). 
coef 
a numeric vector of parameter estimates. 
cov 
a numeric matrix object with covariances of parameters. 
n 
a scalar representing the number of complete observations with no missing values that were used in the estimation. 
df.residual 
an integer value of the residual degrees of freedom. 
df.null 
an integer value of the residual degrees of freedom of a null model including intercepts and standard errors. 
iter 
an integer value of the number of iterations used in optimization. 
ll 
a numeric value of the negative loglikelihood

aic 
a numeric value of the Akaike information
criterion 
bic 
a numeric value of the Bayesian information criterion

k 
a numeric value of the number of components. 
lcoef 
a character vector of labels for objects including
results on distributions (default 
lcpar 
a
character vector of labels for objects including constant distribution
parameters (default 
lcmp 
a character value of the label for objects including results on different components (default "Comp") 
lvar 
a
list including 2 character vectors of covariate names for model parameters
of distributions ( 