gamlss_1

Model of class gamlss

gamlss_1

Format

An object of class gamlss (inherits from gam, glm, lm) of length 88.

Examples

data(abdom)
gamlss(
  y ~ pb(x), sigma.formula =  ~ pb(x),
  family = BCT, data = abdom, method = mixed(1, 20)
)
#> Warning: collapsing to unique 'x' values
#> Warning: collapsing to unique 'x' values
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#> Warning: collapsing to unique 'x' values
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#> Warning: collapsing to unique 'x' values
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#> GAMLSS-RS iteration 1: Global Deviance = 4771.925 
#> Warning: collapsing to unique 'x' values
#> Warning: collapsing to unique 'x' values
#> Warning: collapsing to unique 'x' values
#> Warning: collapsing to unique 'x' values
#> Warning: collapsing to unique 'x' values
#> Warning: collapsing to unique 'x' values
#> Warning: collapsing to unique 'x' values
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#> GAMLSS-CG iteration 1: Global Deviance = 4771.013 
#> Warning: collapsing to unique 'x' values
#> Warning: collapsing to unique 'x' values
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#> Warning: collapsing to unique 'x' values
#> Warning: collapsing to unique 'x' values
#> GAMLSS-CG iteration 2: Global Deviance = 4770.994 
#> Warning: collapsing to unique 'x' values
#> Warning: collapsing to unique 'x' values
#> Warning: collapsing to unique 'x' values
#> Warning: collapsing to unique 'x' values
#> GAMLSS-CG iteration 3: Global Deviance = 4770.994 
#> 
#> Family:  c("BCT", "Box-Cox t") 
#> Fitting method: mixed(1, 20) 
#> 
#> Call:  gamlss(formula = y ~ pb(x), sigma.formula = ~pb(x),  
#>     family = BCT, data = abdom, method = mixed(1, 20)) 
#> 
#> Mu Coefficients:
#> (Intercept)        pb(x)  
#>      -64.44        10.69  
#> Sigma Coefficients:
#> (Intercept)        pb(x)  
#>    -2.65041     -0.01003  
#> Nu Coefficients:
#> (Intercept)  
#>     -0.1072  
#> Tau Coefficients:
#> (Intercept)  
#>       2.495  
#> 
#>  Degrees of Freedom for the fit: 11.76 Residual Deg. of Freedom   598.2 
#> Global Deviance:     4770.99 
#>             AIC:     4794.52 
#>             SBC:     4846.42