Cumulative_models_for_rxc

Cumulative logit and probit models
Described in Chapter 7 "The rxc Table"

Provides functions to perform statistical inference of data organized in contingency tables. This package is a companion to the "Statistical Analysis of Contingency Tables" book by Fagerland et al. <ISBN 9781466588172>.

Waldir Leoncio

contingencytables

Statistical Analysis of Contingency Tables

Morten Wang Fagerland

Stian Lydersen

Petter Laake

Ole Christian Lingjærde

Brad J. Biggerstaff

Cumulative_models_for_rxc function

<dl><dt>n</dt>
<dd>the observed table (an rxc matrix) with at least 3 columns</dd>
<dt>linkfunction</dt>
<dd>either "logit" or "probit"</dd>
<dt>alpha</dt>
<dd>the nominal level, e.g. 0.05 for 95% CIs</dd></dl>

Arguments

Cumulative logit and probit models — Cumulative_models_for_rxc

<dl>

<dt>n</dt>
<dd>the observed table (an rxc matrix) with at least 3 columns</dd>


<dt>linkfunction</dt>
<dd>either "logit" or "probit"</dd>


<dt>alpha</dt>
<dd>the nominal level, e.g. 0.05 for 95% CIs</dd>

</dl>

Cumulative_models_for_rxc: Cumulative logit and probit models

Description

Usage

Value

Arguments

Examples