log1pexp

Computes the natural logarithm of 1 plus the exponential of the input,
to handle large inputs.

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

log1pexp function

<dl><dt>x</dt>
<dd>(vector): A numeric vector of inputs.</dd></dl>

Arguments

Log1p Exponential — log1pexp

<dl>

<dt>x</dt>
<dd>(vector): A numeric vector of inputs.</dd>

</dl>

Log1p Exponential

log1pexp: Log1p Exponential

Description

Usage

Value

Arguments