get.data.keep.complete

Remove Rows with Missing Observations from Data

Methods and tools for model selection and multi-model inference (Burnham and Anderson (2002) <doi:10.1007/b97636>, among others).
'SUR' (for parameter estimation), 'logit'/'probit' (for binary classification), and 'VARMA' (for time-series forecasting) are implemented.
Evaluations are both in-sample and out-of-sample.
It is designed to be efficient in terms of CPU usage and memory consumption.

Ramin Mojab

Automated Uncertainty Analysis

Stephen Becker

get.data.keep.complete function

<dl><dt>data</dt>
<dd>Output of get.data function</dd>
<dt>warn</dt>
<dd>If true, warning message about the indices of the removed rows is shown</dd></dl>

Arguments

Remove Rows with Missing Observations from Data — get.data.keep.complete

<dl>

<dt>data</dt>
<dd>Output of get.data function</dd>


<dt>warn</dt>
<dd>If true, warning message about the indices of the removed rows is shown</dd>

</dl>

get.data.keep.complete: Remove Rows with Missing Observations from Data

Description

Usage

Value

Arguments