dot-glm.mipred.cmb2.cv: Cross-validation of generalized linear model prediction using...
In mipred: Prediction using Multiple Imputation

Cross-validation of generalized linear model prediction using multiple imputation - Rubin's rule coefficient-averaging method

1	.glm.mipred.cmb2.cv(formula, family, dataset, nimp, folds, miop)

`formula`	Formula used by fitting and prediction method
`family`	Error distribution also determining the link function used
`dataset`	A data frame containing calibration data
`nimp`	Number of imputations for each observation
`folds`	Number of folds defined in data
`miop`	Mice options

A list containing predictions.

pred: Matrix of predictions on the scale of the response variable of dimension m by nimp.
linpred: Matrix of predictions on the scale of the linear predictor of dimension m by nimp.

This is an internal 'mipred' function and not intended to be called directly

mipred documentation built on July 12, 2019, 5:04 p.m.