isotonic_regression_impl

Internal method that is used by R code to pass into Rust code.

Distributional regression under stochastic order restrictions for
numeric and binary response variables and partially ordered covariates,
including right-censored responses via Survival-IDR. See Henzi, Ziegel,
Gneiting (2021) <doi:10.1111/rssb.12450> and Bladt, Henzi, van den Heuvel,
Ziegel (2026) <doi:10.48550/arXiv.2608.02914>.

Bram van den Heuvel

isodistrreg

Isotonic Distributional Regression (IDR)

Alexander Henzi

Martin Bladt

Johanna Ziegel

isotonic_regression_impl function

<dl><dt>y</dt>
<dd>Double vector of response values.</dd>
<dt>X</dt>
<dd>Double vector of covariate values, or NULL if responses are pre-sorted.</dd>
<dt>weights</dt>
<dd>Double vector of non-negative weights, or NULL for equal weights.</dd>
<dt>decreasing</dt>
<dd>Bool indicating direction (default FALSE is increasing, TRUE is decreasing).</dd></dl>

Arguments

Compute the isotonic regression for the mean for totally ordered covariates. — isotonic_regression_impl

<dl>

<dt>y</dt>
<dd>Double vector of response values.</dd>


<dt>X</dt>
<dd>Double vector of covariate values, or NULL if responses are pre-sorted.</dd>


<dt>weights</dt>
<dd>Double vector of non-negative weights, or NULL for equal weights.</dd>


<dt>decreasing</dt>
<dd>Bool indicating direction (default FALSE is increasing, TRUE is decreasing).</dd>

</dl>

isotonic_regression_impl: Compute the isotonic regression for the mean for totally ordered covariates.

Description

Usage

Value

Arguments

Details