print.RRi_fit

Displays a concise summary of the RRi_fit object produced by
<code>estimate_RRi_curve()</code>. The printed output includes the optimization method,
estimated parameters, the final objective value, and the convergence code.

Automated and robust framework for analyzing R-R interval (RRi) signals using advanced nonlinear modeling and preprocessing techniques. The package implements a dual-logistic model to capture the rapid drop and subsequent recovery of RRi during exercise, as described by Castillo-Aguilar et al. (2025) <doi:10.1038/s41598-025-93654-6>. In addition, 'CardioCurveR' includes tools for filtering RRi signals using zero-phase Butterworth low-pass filtering and for cleaning ectopic beats via adaptive outlier replacement using local regression and robust statistics. These integrated methods preserve the dynamic features of RRi signals and facilitate accurate cardiovascular monitoring and clinical research.

Matías Castillo-Aguilar

CardioCurveR

Nonlinear Modeling of R-R Interval Dynamics

print.RRi_fit function

<dl><dt>x</dt>
<dd>An object of class "RRi_fit".</dd>
<dt>...</dt>
<dd>Additional arguments passed to print.</dd></dl>

Arguments

Print method for RRi_fit objects — print.RRi_fit

<dl>

<dt>x</dt>
<dd>An object of class "RRi_fit".</dd>


<dt>...</dt>
<dd>Additional arguments passed to print.</dd>

</dl>

print.RRi_fit: Print method for RRi_fit objects

Description

Usage

Value

Arguments