The "respModule"
class is the virtual base class of
response modules for glpModel
model objects.
Classes that inherit from "respModule"
include
glmRespMod
, for
generalized linear models, nlsRespMod
, for
nonlinear models and nglmRespMod
for generalized
nonlinear models.
Objects from these classes are usually created with
mkRespMod
as part of an glpModel
object returned by model-fitting functions such as the hidden function
glm4
.
mu
:Fitted mean response.
offset
:offset in the linear predictor -- always
present even if it is a vector of zeros. In an
nlsRespMod
object the length of the offset can be
a multiple of the length of the response.
sqrtXwt
:the matrix of
weights for the model matrices, derived from the sqrtrwt
slot.
sqrtrwt
:Numeric vector of the square roots
of the weights for the residuals. For
respModule
and nlsRespMod
objects these are constant. For
glmRespMod
and nglmRespMod
objects these are updated at each iteration of the iteratively
reweighted least squares algorithm.
weights
:Prior weights -- always present even when it is a vector of ones.
y
:Numeric response vector.
family
:a glm family, see family
for
details - glmRespMod
objects only.
eta
:numeric vector, the linear predictor that is
transformed to the conditional mean via the link function -
glmRespMod
objects only.
n
:a numeric vector used for calculation of the aic family
function (it is really only used with the binomial family but
we need to include it everywhere) - glmRespMod
objects only.
nlenv
:an environment in which to evaluate the
nonlinear model function - nlsRespMod
objects only.
nlmod
:an unevaluated call to the
nonlinear model function - nlsRespMod
objects only.
pnames
:a character vector of parameter names -
nlsRespMod
objects only.
signature(object = "respModule")
: fitted values;
there may be several types, corresponding to the residuals, see there
(below).
signature(object = "respModule")
: residuals,
depending on the type of the model, there are several types of
residuals and correspondingly residuals,
see residuals.glm
from the
stats package. Because many of these types of residuals are
identical except for objects that inherit from "glmRespMod", a
separate method is defined for this subclass.
mkRespMod
showClass("respModule")
showClass("glmRespMod")
showClass("nlsRespMod")
Run the code above in your browser using DataLab