Description Usage Arguments Details Value Author(s) Examples
View source: R/summary.gamlss.r
It takes a fitted gamlss
object produced by gamlss()
and produces some summaries from it.
1 2 3 4 5 6 7 8 9 
object 
A fitted 
x 

n.sim 
The number of simulated coefficient vectors from the posterior distribution of the estimated model parameters. This is used to calculate intervals for various parameters. It may be increased if more precision is required. 
prob.lev 
Probability of the left and right tails of the posterior distribution used for interval calculations. 
digits 
Number of digits printed in output. 
signif.stars 
By default significance stars are printed alongside output. 
... 
Other arguments. 
This function is very similar to summary.SemiParBIV()
.
print.summary.gamlss
prints model term summaries.
tableP1 
Table containing parametric estimates, their standard errors, zvalues and pvalues for equation 1. 
tableP2,tableP3 
As above but for equations 2 and 3 if present. 
tableNP1 
Table of nonparametric summaries for each smooth component including effective degrees of freedom, estimated rank, approximate Wald statistic for testing the null hypothesis that the smooth term is zero and corresponding pvalue, for equation 1. 
tableNP2,tableNP3 
As above but for equations 2 and 3. 
n 
Sample size. 
sigma21, nu1 
Estimated distribution specific parameters. 
formula1,formula2,formula3 
Formulas used for the model equations. 
l.sp1,l.sp2,l.sp3 
Number of smooth components in model equation. 
t.edf 
Total degrees of freedom of the estimated bivariate model. 
CIsig21,CInu1 
Intervals for distribution specific parameters. 
Maintainer: Giampiero Marra [email protected]
1  ## see examples for gamlss

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