aldvmm.sum {aldvmm}R Documentation

Creating Summary Table

Description

aldvmm.sum creates a summary table of regression results.

Usage

aldvmm.sum(
  est,
  se,
  z,
  p,
  lower,
  upper,
  n,
  value,
  aic,
  bic,
  ncmp,
  lcoef,
  lcpar,
  lcmp,
  lvar,
  digits = 3
)

Arguments

est

a named numeric vector of point estimates.

se

a named numeric vector of standard errors of parameters returned by aldvmm.cv.

z

a named numeric vector of standardized coefficients of parameters returned by aldvmm.cv.

p

a named numeric vector of p-values of parameters returned by aldvmm.cv.

lower

a named numeric vector of 95% lower limits of parameters returned by aldvmm.cv.

upper

a named numeric vector of 95% upper limits of parameters returned by aldvmm.cv.

n

a numeric value of the number of complete observations in 'data' supplied to aldvmm.

value

a numeric value of the negative log-likelihood returned by aldvmm.ll.

aic

a numeric value of the Akaike information criterion (AIC) returned by aldvmm.gof.

bic

a numeric value of the Bayesian information criterion (BIC) returned by aldvmm.gof.

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 'psi'.

lcoef

a character vector of length 2 with labels of objects including regression coefficients of component distributions (default "beta") and coefficients of probabilities of component membership (default "delta").

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 'lcpar' depends on the distribution supplied to 'dist'.

lcmp

a character value representing a stub (default "Comp") for labeling objects including regression coefficients in different components (e.g. "Comp1", "Comp2", ...). This label is also used in summary tables returned by summary.aldvmm.

lvar

a named list of character vectors with column names of design matrices returned by aldvmm.mm.

digits

a numeric value of the number of digits in the reporting table.

Value

a data.frame object with a summary table of regression results.


[Package aldvmm version 0.8.4 Index]