Alcohol_data

Lemmens , Knibbe and Tan(1988) described a study of self reported alcohol frequencies.
The no of alcohol consumption data in two reference weeks is separately self reported
by a randomly selected sample of 399 respondents in the Netherlands in 1983.
Number of days a given individual consumes alcohol out of 7 days a week can be treated as a binomial
variable.
The collection of all such variables from all respondents would be defined as "Binomial Outcome Data".

datasets

Contains Probability Mass Functions, Cumulative Mass Functions, Negative Log Likelihood value, parameter estimation and modeling data using Binomial Mixture Distributions (BMD) (Manoj et al (2013) <doi:10.5539/ijsp.v2n2p24>) and Alternate Binomial Distributions (ABD) (Paul (1985) <doi:10.1080/03610928508828990>), also Journal article to use the package(<doi:10.21105/joss.01505>).

Amalan Mahendran

fitODBOD

Modeling Over Dispersed Binomial Outcome Data Using BMD and ABD

Pushpakanthie Wijekoon

Alcohol_data function

A data frame with 3 columns and 8 rows.<dl>
<dt><code>Days</code></dt>
<dd>No of Days Drunk</dd><dt><code>week1</code></dt>
<dd>Observed frequencies for week1</dd><dt><code>week2</code></dt>
<dd>Observed frequencies for week2</dd>
</dl>

Format

Alcohol data — Alcohol_data

A data frame with 3 columns and 8 rows.<dl>
<dt><code>Days</code></dt>
<dd>No of Days Drunk</dd>

<dt><code>week1</code></dt>
<dd>Observed frequencies for week1</dd>

<dt><code>week2</code></dt>
<dd>Observed frequencies for week2</dd>


</dl>

Alcohol_data: Alcohol data

Description

Usage

Arguments

Format

Examples