Drug

The data is for the comparison of the effectiveness of three analgesic drugs 
to a standard drug, morphine (Finney, Probit analysis, 3rd Edition 1971, p.103). 14 groups 
of mice were tested for response to the drugs at a range of doses.

Providing functions to diagnose and make inferences from various linear models,
such as those obtained from 'aov', 'lm', 'glm', 'gls', 'lme', 'lmer', 'glmmTMB' and 'semireg'.
Inferences include predicted means and standard errors, contrasts, multiple comparisons,
permutation tests, adjusted R-square and graphs.

Dongwen Luo

predictmeans

Predicted Means for Linear and Semiparametric Models

Siva Ganesh

John Koolaard

Drug function

<code>Drug</code> is a 14 row data frame with the following columns<dl>
<dt>Drug</dt>
<dd>type of drug.</dd><dt>Dose</dt>
<dd>dose volumn.</dd><dt>N</dt>
<dd>total number of mice in each group.</dd><dt>R</dt>
<dd>number responding mice in each group.</dd><dt>log10Dose</dt>
<dd>log10 transformed dose volumn.</dd>
</dl>

Format

Drug data — Drug

<code>Drug</code> is a 14 row data frame with the following columns<dl>
<dt>Drug</dt>
<dd>type of drug.</dd>

<dt>Dose</dt>
<dd>dose volumn.</dd>

<dt>N</dt>
<dd>total number of mice in each group.</dd>

<dt>R</dt>
<dd>number responding mice in each group.</dd>

<dt>log10Dose</dt>
<dd>log10 transformed dose volumn.</dd>


</dl>

Drug: `Drug` data

Description

Usage

Arguments

Format