func_V

This functions calculates the covariance matrix based on the point estimates

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

func_V function

<dl><dt>coef</dt>
<dd>coefficients (alpha, beta)</dd>
<dt>n</dt>
<dd>number of subjects</dd>
<dt>x</dt>
<dd>original covariate matrix</dd>
<dt>y</dt>
<dd>ranks of code values</dd>
<dt>delta</dt>
<dd>censoring indicators</dd>
<dt>k</dt>
<dd>the number of unique code values</dd>
<dt>p</dt>
<dd>the number of covariates</dd>
<dt>fam</dt>
<dd>a list of functions subject to the link function</dd></dl>

Arguments

Calculate the covariance matrix — func_V

<dl>

<dt>coef</dt>
<dd>coefficients (alpha, beta)</dd>


<dt>n</dt>
<dd>number of subjects</dd>


<dt>x</dt>
<dd>original covariate matrix</dd>


<dt>y</dt>
<dd>ranks of code values</dd>


<dt>delta</dt>
<dd>censoring indicators</dd>


<dt>k</dt>
<dd>the number of unique code values</dd>


<dt>p</dt>
<dd>the number of covariates</dd>


<dt>fam</dt>
<dd>a list of functions subject to the link function</dd>

</dl>

func_V: Calculate the covariance matrix

Description

Usage

Value

Arguments