ose_rule

Apply the one-standard-error rule for model selection

internal

Provides a comprehensive framework for time series omics analysis,
integrating changepoint detection, smooth and shape-constrained trends,
and uncertainty quantification. It supports gene- and transcript-level inferences,
p-value aggregation for improved power, and both case-only and case-control designs.
It includes an interactive 'shiny' interface. The methods are described in Yates et al. (2024) <doi:10.1101/2024.12.22.630003>.

Luke Yates

cpam

Changepoint Additive Models for Time Series Omics Data

Michael Charleston

Jazmine Humphreys

Steven Smith

ose_rule function

<dl><dt>tab</dt>
<dd>A table containing model scores</dd>
<dt>nse</dt>
<dd>Number of standard errors to use (default: 1)</dd></dl>

Arguments

Apply the one-standard-error rule for model selection — ose_rule

<dl>

<dt>tab</dt>
<dd>A table containing model scores</dd>


<dt>nse</dt>
<dd>Number of standard errors to use (default: 1)</dd>

</dl>

ose_rule: Apply the one-standard-error rule for model selection

Description

Usage

Value

Arguments

Details