english

The Stanford WordBank data on vocabulary acquisition in young children.
The file consists of about 5500 rows. There are many NA values, though,
and only about 2800 complete cases. The main variables are age, birth
order, sex, mother's education and vocabulary size.

Non-imputational method for handling missing values in
a prediction context, meaning that not only are there missing
values in the training dataset, but also some values may be missing
in future cases to be predicted. Based on the notion of regression
averaging (Matloff (2017, ISBN: 9781498710916)).

Norm Matloff

toweranNA

A Method for Handling Missing Values in Prediction Applications

Pete Mohanty

english function

The Stanford WordBank data on vocabulary acquisition in young children.
The file consists of about 5500 rows. There are many NA values, though,
and only about 2800 complete cases. The main variables are age, birth
order, sex, mother's education and vocabulary size.

english: English vocabulary data

Description

Arguments