Description Value Author(s) See Also
A fitted gamlss object returned by function gamlss
and of class "gamlss" and "SemiParBIV".
fit |
List of values and diagnostics extracted from the output of the algorithm. |
gam1, gam2, gam3 |
Univariate starting values' fits. |
coefficients |
The coefficients of the fitted model. |
weights |
Prior weights used during model fitting. |
sp |
Estimated smoothing parameters of the smooth components. |
iter.sp |
Number of iterations performed for the smoothing parameter estimation step. |
iter.if |
Number of iterations performed in the initial step of the algorithm. |
iter.inner |
Number of iterations performed within the smoothing parameter estimation step. |
n |
Sample size. |
X1, X2, X3, ... |
Design matrices associated with the linear predictors. |
X1.d2, X2.d2, X3.d2, ... |
Number of columns of |
l.sp1, l.sp2, l.sp3, ... |
Number of smooth components in the equations. |
He |
Penalized -hessian/Fisher. This is the same as |
HeSh |
Unpenalized -hessian/Fisher. |
Vb |
Inverse of |
F |
This is obtained multiplying Vb by HeSh. |
t.edf |
Total degrees of freedom of the estimated bivariate model. It is calculated as |
edf1, edf2, edf3, ... |
Degrees of freedom for the model's equations. |
wor.c |
Working model quantities. |
eta1, eta2, eta3, ... |
Estimated linear predictors. |
y1 |
Response. |
logLik |
Value of the (unpenalized) log-likelihood evaluated at the (penalized or unpenalized) parameter estimates. |
Maintainer: Giampiero Marra giampiero.marra@ucl.ac.uk
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