| updateMu {MatrixModels} | R Documentation |
Updates the mean vector μ given the linear predictor γ. Evaluate the residuals and the weighted sum of squared residuals.
updateMu(respM, gamma, ...)
respM |
a response module, see the
|
gamma |
the value of the linear predictor before adding the offset |
... |
potentially further arguments used in methods; not used currently. |
Note that the offset is added to the linear predictor before calculating mu.
The sqrtXwt matrix can be updated but the sqrtrwt should not be in that the weighted sum of squared residuals should be calculated relative to fixed weights. Reweighting is done in a separate call.
updated respM
signature(respM = "glmRespMod", gamma = "numeric")..
signature(respM = "nglmRespMod", gamma = "numeric")..
signature(respM = "nlsRespMod", gamma = "numeric")..
signature(respM = "respModule", gamma = "numeric")..
The respModule class (and specific subclasses);
glm4.
## TODO