link_grad

<code>link_grad</code> function for gradient of the link function

Implementation of assumption-lean and data-adaptive post-prediction inference (POPInf), for valid and efficient statistical inference based on data predicted by machine learning. See Miao, Miao, Wu, Zhao, and Lu (2023) <arXiv:2311.14220>.

Jiacheng Miao

POPInf

Assumption-Lean and Data-Adaptive Post-Prediction Inference

link_grad function

<dl><dt>t</dt>
<dd>t</dd>
<dt>method</dt>
<dd>indicates the method to be used for M-estimation. Options include "mean", "quantile", "ols", "logistic", and "poisson".</dd></dl>

Arguments

gradient of the link function — link_grad

<dl>

<dt>t</dt>
<dd>t</dd>


<dt>method</dt>
<dd>indicates the method to be used for M-estimation. Options include "mean", "quantile", "ols", "logistic", and "poisson".</dd>

</dl>

link_grad: gradient of the link function

Description

Usage

Value

Arguments