glmPredictDS.as.Rdcreate a predict_glm object on the serverside by applying the equivalent of predict.glm() in native R to a glm object on the serverside. Identify and return components of the predict_glm object that can safely be sent to the clientside without a risk of disclosure
glmPredictDS.as(
glmname.transmit,
newdataname.transmit,
output.type,
se.fit,
dispersion,
terms.transmit,
na.action
)a character string specifying the name of the glm object on the serverside that is to be used for prediction. Fully specified by glmname argument in ds.glmPredict
a character string specifying an (optional) dataframe on the serverside in which to look for (potentially) new covariate values on which to base the predictions. Fully specified by newdataname argument in ds.glmPredict.
a character string taking the values 'response', 'link' or 'terms'. Fully specified by corresponding argument in ds.glmPredict.
logical if standard errors for the fitted predictions are required. Fully specified by corresponding argument in ds.glmPredict.
numeric value specifying the dispersion of the GLM fit to be assumed in computing the standard errors. Fully specified by corresponding argument in ds.glmPredict.
a character vector specifying a subset of terms to return in the prediction. Fully specified by 'terms' argument in ds.glmPredict.
character string determining what should be done with missing values in the data.frame identified by <newdataname.transmit>. Fully specified by na.action argument in ds.glmPredict.
glmPredict.as writes a new object to the serverside containing output precisely equivalent to the output from predict.glm in native R. For more details see DataSHIELD help for ds.glmPredict and help for predict.glm in native R
Serverside assign function called by ds.glmPredict makes predictions of regression responses based on a serverside glm object that has already been created on the serverside by ds.glmSLMA and and writes the predict_glm object to the serverside. For further details see help for ds.glmPredict and help in native R for predict.glm