Description Objects from the Class Slots Extends Methods Note Author(s) References See Also Examples

Reduced-rank vector generalized linear models.

Objects can be created by calls to `rrvglm`

.

`extra`

:-
Object of class

`"list"`

; the`extra`

argument on entry to`vglm`

. This contains any extra information that might be needed by the family function. `family`

:-
Object of class

`"vglmff"`

. The family function. `iter`

:-
Object of class

`"numeric"`

. The number of IRLS iterations used. `predictors`

:-
Object of class

`"matrix"`

with*M*columns which holds the*M*linear predictors. `assign`

:-
Object of class

`"list"`

, from class`"vlm"`

. This named list gives information matching the columns and the (LM) model matrix terms. `call`

:-
Object of class

`"call"`

, from class`"vlm"`

. The matched call. `coefficients`

:-
Object of class

`"numeric"`

, from class`"vlm"`

. A named vector of coefficients. `constraints`

:-
Object of class

`"list"`

, from class`"vlm"`

. A named list of constraint matrices used in the fitting. `contrasts`

:-
Object of class

`"list"`

, from class`"vlm"`

. The contrasts used (if any). `control`

:-
Object of class

`"list"`

, from class`"vlm"`

. A list of parameters for controlling the fitting process. See`vglm.control`

for details. `criterion`

:-
Object of class

`"list"`

, from class`"vlm"`

. List of convergence criterion evaluated at the final IRLS iteration. `df.residual`

:-
Object of class

`"numeric"`

, from class`"vlm"`

. The residual degrees of freedom. `df.total`

:-
Object of class

`"numeric"`

, from class`"vlm"`

. The total degrees of freedom. `dispersion`

:-
Object of class

`"numeric"`

, from class`"vlm"`

. The scaling parameter. `effects`

:-
Object of class

`"numeric"`

, from class`"vlm"`

. The effects. `fitted.values`

:-
Object of class

`"matrix"`

, from class`"vlm"`

. The fitted values. This is usually the mean but may be quantiles, or the location parameter, e.g., in the Cauchy model. `misc`

:-
Object of class

`"list"`

, from class`"vlm"`

. A named list to hold miscellaneous parameters. `model`

:-
Object of class

`"data.frame"`

, from class`"vlm"`

. The model frame. `na.action`

:-
Object of class

`"list"`

, from class`"vlm"`

. A list holding information about missing values. `offset`

:-
Object of class

`"matrix"`

, from class`"vlm"`

. If non-zero, a*M*-column matrix of offsets. `post`

:-
Object of class

`"list"`

, from class`"vlm"`

where post-analysis results may be put. `preplot`

:-
Object of class

`"list"`

, from class`"vlm"`

used by`plotvgam`

; the plotting parameters may be put here. `prior.weights`

:-
Object of class

`"matrix"`

, from class`"vlm"`

holding the initially supplied weights. `qr`

:-
Object of class

`"list"`

, from class`"vlm"`

. QR decomposition at the final iteration. `R`

:-
Object of class

`"matrix"`

, from class`"vlm"`

. The**R**matrix in the QR decomposition used in the fitting. `rank`

:-
Object of class

`"integer"`

, from class`"vlm"`

. Numerical rank of the fitted model. `residuals`

:-
Object of class

`"matrix"`

, from class`"vlm"`

. The*working*residuals at the final IRLS iteration. `ResSS`

:-
Object of class

`"numeric"`

, from class`"vlm"`

. Residual sum of squares at the final IRLS iteration with the adjusted dependent vectors and weight matrices. `smart.prediction`

:-
Object of class

`"list"`

, from class`"vlm"`

. A list of data-dependent parameters (if any) that are used by smart prediction. `terms`

:-
Object of class

`"list"`

, from class`"vlm"`

. The`terms`

object used. `weights`

:-
Object of class

`"matrix"`

, from class`"vlm"`

. The weight matrices at the final IRLS iteration. This is in matrix-band form. `x`

:-
Object of class

`"matrix"`

, from class`"vlm"`

. The model matrix (LM, not VGLM). `xlevels`

:-
Object of class

`"list"`

, from class`"vlm"`

. The levels of the factors, if any, used in fitting. `y`

:-
Object of class

`"matrix"`

, from class`"vlm"`

. The response, in matrix form. `Xm2`

:Object of class

`"matrix"`

, from class`"vlm"`

. See`vglm-class`

).`Ym2`

:Object of class

`"matrix"`

, from class`"vlm"`

. See`vglm-class`

).`callXm2`

:-
Object of class

`"call"`

, from class`"vlm"`

. The matched call for argument`form2`

.

Class `"vglm"`

, directly.
Class `"vlm"`

, by class "vglm".

- biplot
`signature(x = "rrvglm")`

: biplot.- Coef
`signature(object = "rrvglm")`

: more detailed coefficients giving**A**,*\bold{B}1*,**C**, etc.- biplot
`signature(object = "rrvglm")`

: biplot.`signature(x = "rrvglm")`

: short summary of the object.- summary
`signature(object = "rrvglm")`

: a more detailed summary of the object.

The slots of `"rrvglm"`

objects are currently identical to `"vglm"`

objects.

Thomas W. Yee

Yee, T. W. and Hastie, T. J. (2003).
Reduced-rank vector generalized linear models.
*Statistical Modelling*,
**3**, 15–41.

Yee, T. W. and Wild, C. J. (1996).
Vector generalized additive models.
*Journal of the Royal Statistical Society, Series B, Methodological*,
**58**, 481–493.

`rrvglm`

,
`lvplot.rrvglm`

,
`vglmff-class`

.

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