est_ini

<code>est_ini</code> function for initial estimation

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

est_ini function

<dl><dt>X</dt>
<dd>Array or DataFrame containing covariates</dd>
<dt>Y</dt>
<dd>Array or DataFrame of outcomes</dd>
<dt>quant</dt>
<dd>quantile for quantile estimation</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

Initial estimation — est_ini

<dl>

<dt>X</dt>
<dd>Array or DataFrame containing covariates</dd>


<dt>Y</dt>
<dd>Array or DataFrame of outcomes</dd>


<dt>quant</dt>
<dd>quantile for quantile estimation</dd>


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

</dl>

est_ini: Initial estimation

Description

Usage

Value

Arguments