aldvmm.sum {aldvmm}  R Documentation 
aldvmm.sum
creates a summary table of regression results.
aldvmm.sum( est, se, z, p, lower, upper, n, value, aic, bic, ncmp, lcoef, lcpar, lcmp, lvar, digits = 3 )
est 
a named numeric vector of point estimates. 
se 
a named numeric vector of standard errors of parameters returned
by 
z 
a named numeric vector of standardized coefficients of parameters
returned by 
p 
a named numeric vector of pvalues of parameters returned by

lower 
a named numeric vector of 95% lower limits of parameters
returned by 
upper 
a named numeric vector of 95% upper limits of parameters
returned by 
n 
a numeric value of the number of complete observations in

value 
a numeric value of the negative loglikelihood returned by

aic 
a numeric value of the Akaike information criterion (AIC)
returned by 
bic 
a numeric value of the Bayesian information criterion (BIC)
returned by 
ncmp 
a numeric value of the number of components that are mixed. The
default value is 2. A value of 1 represents a tobit model with a gap
between 1 and the maximum value in 
lcoef 
a character vector of length 2 with labels of objects including
regression coefficients of component distributions (default 
lcpar 
a character vector with the labels of objects including
constant parameters of component distributions (e.g. the standard
deviation of the normal distribution). The length of 
lcmp 
a character value representing a stub (default 
lvar 
a named list of character vectors with column names of design
matrices returned by 
digits 
a numeric value of the number of digits in the reporting table. 
a data.frame
object with a summary table of regression results.