Dose response calculation for binomial regression models

A general implementation of Structural Equation Models
with latent variables (MLE, 2SLS, and composite likelihood
estimators) with both continuous, censored, and ordinal
outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>).
Mixture latent variable models and non-linear latent variable models
(Holst and Budtz-Joergensen (2020) <doi:10.1093/biostatistics/kxy082>).
The package also provides methods for graph exploration (d-separation,
back-door criterion), simulation of general non-linear latent variable
models, and estimation of influence functions for a broad range of
statistical models.

Klaus Holst

lava

Latent Variable Models

Klaus K. Holst

Brice Ozenne

Thomas Gerds

PD function

<dl><dt>model</dt>
<dd>Model object or vector of parameter estimates</dd>
<dt>intercept</dt>
<dd>Index of intercept parameters</dd>
<dt>slope</dt>
<dd>Index of intercept parameters</dd>
<dt>prob</dt>
<dd>Index of mixture parameters (only relevant for
<code>zibreg</code> models)</dd>
<dt>x</dt>
<dd>Optional weights
length(x)=length(intercept)+length(slope)+length(prob)</dd>
<dt>level</dt>
<dd>Probability at which level to calculate dose</dd>
<dt>ci.level</dt>
<dd>Level of confidence limits</dd>
<dt>vcov</dt>
<dd>Optional estimate of variance matrix of parameter
estimates</dd>
<dt>family</dt>
<dd>Optional distributional family argument</dd>
<dt>EB</dt>
<dd>Optional ratio of treatment effect and adverse effects
used to find optimal dose (regret-function argument)</dd></dl>

Arguments

Author

Dose response calculation for binomial regression models — PD

<dl>

<dt>model</dt>
<dd>Model object or vector of parameter estimates</dd>


<dt>intercept</dt>
<dd>Index of intercept parameters</dd>


<dt>slope</dt>
<dd>Index of intercept parameters</dd>


<dt>prob</dt>
<dd>Index of mixture parameters (only relevant for
<code>zibreg</code> models)</dd>


<dt>x</dt>
<dd>Optional weights
length(x)=length(intercept)+length(slope)+length(prob)</dd>


<dt>level</dt>
<dd>Probability at which level to calculate dose</dd>


<dt>ci.level</dt>
<dd>Level of confidence limits</dd>


<dt>vcov</dt>
<dd>Optional estimate of variance matrix of parameter
estimates</dd>


<dt>family</dt>
<dd>Optional distributional family argument</dd>


<dt>EB</dt>
<dd>Optional ratio of treatment effect and adverse effects
used to find optimal dose (regret-function argument)</dd>

</dl>

PD: Dose response calculation for binomial regression models

Description

Usage

Arguments

Author