.parse_inputs

internal

Performs valid statistical inference on predicted data (IPD) using recent methods, where for a subset of the data, the outcomes have been predicted by an algorithm. Provides a wrapper function with specified defaults for the type of model and method to be used for estimation and inference. Further provides methods for tidying and summarizing results. Salerno et al., (2025) <doi:10.1093/bioinformatics/btaf055>.

Stephen Salerno

Inference on Predicted Data

Jiacheng Miao

Awan Afiaz

Kentaro Hoffman

Jesse Gronsbell

Jianhui Gao

David Cheng

Anna Neufeld

Qiongshi Lu

Tyler H McCormick

Jeffrey T Leek

.parse_inputs function

<dl><dt>data</dt>
<dd>data.frame or coercible object</dd>
<dt>label</dt>
<dd>optional column flagging labeled vs. unlabeled rows</dd>
<dt>unlabeled_data</dt>
<dd>optional data.frame of unlabeled observations</dd>
<dt>na_action</dt>
<dd>how to handle missing data: "na.fail" or "na.omit"</dd></dl>

Arguments

Validate and split input data — .parse_inputs

<dl>

<dt>data</dt>
<dd>data.frame or coercible object</dd>


<dt>label</dt>
<dd>optional column flagging labeled vs. unlabeled rows</dd>


<dt>unlabeled_data</dt>
<dd>optional data.frame of unlabeled observations</dd>


<dt>na_action</dt>
<dd>how to handle missing data: "na.fail" or "na.omit"</dd>

</dl>

Validate and split input data

.parse_inputs: Validate and split input data

Description

Usage

Value

Arguments