quantile_dl

This functions calculates the conditional weighted quantiles based on the fitted model
and new data.

Build CPMs (cumulative probability models, also known as cumulative link models) to account for detection limits (both single and multiple detection limits) in response variables. Conditional quantiles and conditional CDFs can be calculated based on fitted models. The package implements methods described in Tian, Y., Li, C., Tu, S., James, N. T., Harrell, F. E., & Shepherd, B. E. (2022). "Addressing Detection Limits with Semiparametric Cumulative Probability Models". <arXiv:2207.02815>.

Yuqi Tian

multipleDL

Addressing Detection Limits by Cumulative Probability Models
(CPMs)

Chun Li

Shengxin Tu

Nathan James

Frank Harrell

Bryan Shepherd

quantile_dl function

<dl><dt>mod</dt>
<dd>the model</dd>
<dt>new.data</dt>
<dd>the new data</dd>
<dt>probs</dt>
<dd>a numeric vector of pth quantiles</dd>
<dt>se</dt>
<dd>if confidence intervals needed (default = TRUE)</dd></dl>

Arguments

Calculate conditional quantiles — quantile_dl

<dl>

<dt>mod</dt>
<dd>the model</dd>


<dt>new.data</dt>
<dd>the new data</dd>


<dt>probs</dt>
<dd>a numeric vector of pth quantiles</dd>


<dt>se</dt>
<dd>if confidence intervals needed (default = TRUE)</dd>

</dl>

quantile_dl: Calculate conditional quantiles

Description

Usage

Value

Arguments