summary.aldvmm {aldvmm} | R Documentation |
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".
## S3 method for class 'aldvmm'
summary(object, digits = max(3L, getOption("digits") - 3L), level = 0.95, ...)
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. |
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 log-likelihood
|
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 ( |