Plant_DiseaseData

Cochran(1936) provided a data that comprise the number of tomato spotted wilt virus(TSWV) infected
tomato plants in the field trials in Australia. The field map was divided into 160 'quadrats'.
9 tomato plants in each quadrat. then the numbers of TSWV infected tomato plants were counted in each
quadrat.
Number of infected plants out of 9 plants per quadrat can be treated as a binomial variable.
the collection of all such responses from all 160 quadrats would form "binomial outcome data"
below provided is a data set similar to Cochran plant disease incidence data.
Marcus R(1984). orange trees infected with citrus tristeza virus (CTV) in an orchard in central
Israel.
We divided the field map into 84 "quadrats" of 4 rows x 3 columns and counted the total number
(1981 + 1982) of infected trees out of a maximum of n = 12 in each quadrat

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

Plant_DiseaseData function

A data frame with 2 columns and 10 rows<dl>
<dt><code>Dis.plant</code></dt>
<dd>Diseased Plants</dd><dt><code>fre</code></dt>
<dd>Observed frequencies</dd>
</dl>

Format

Plant Disease Incidence data — Plant_DiseaseData

A data frame with 2 columns and 10 rows<dl>
<dt><code>Dis.plant</code></dt>
<dd>Diseased Plants</dd>

<dt><code>fre</code></dt>
<dd>Observed frequencies</dd>


</dl>

Plant_DiseaseData: Plant Disease Incidence data

Description

Usage

Arguments

Format

Examples