scorefun {RWiener} | R Documentation |
Extract Empirical Estimating Functions
Description
!EXPERIMENTAL FUNCTION!
Generic function for extracting the empirical estimating functions of a fitted model.
!EXPERIMENTAL FUNCTION!
Usage
scorefun(x, ...)
estfun(x, ...)
Arguments
x |
a fitted model object. |
... |
arguments passed to methods. |
Value
A matrix containing the empirical estimating functions.
Typically, this should be an n \times k
matrix corresponding
to n
observations and k
parameters. The columns should be named
as in coef
or terms
, respectively.
The estimating function (or score function) for a model - scorefun
- is the derivative of the objective function
with respect to the parameter vector. The empirical estimating functions is
the evaluation of the estimating function at the observed data (n
observations)
and the estimated parameters (of dimension k
).
The estfun
function is basically the score function, but with the
additional functionality to sum up the scores by the given covariable
id
in the dataset.
References
Zeileis A (2006), Object-Oriented Computation of Sandwich Estimators. Journal of Statistical Software, 16(9), 1–16. URL http://www.jstatsoft.org/v16/i09/.
Examples
## generate random data
dat <- rwiener(100,1,.2,.5,0.5)
## fit wdm
wdm1 <- wdm(dat)
## estimating function
scores <- scorefun(wdm1)
## print
head(scores)
## plot
par(mfrow=c(2,2))
plot(scores[,1]);plot(scores[,2]);plot(scores[,3]);plot(scores[,4])