roaches

Data on the efficacy of a pest management system at reducing the number of
roaches in urban apartments.

datasets

For Bayesian and classical inference and prediction with count-valued data,
Simultaneous Transformation and Rounding (STAR) Models provide a flexible, interpretable,
and easy-to-use approach. STAR models the observed count data using a rounded
continuous data model and incorporates a transformation for greater flexibility.
Implicitly, STAR formalizes the commonly-applied yet incoherent procedure of
(i) transforming count-valued data and subsequently
(ii) modeling the transformed data using Gaussian models.
STAR is well-defined for count-valued data, which is reflected in predictive accuracy,
and is designed to account for zero-inflation, bounded or censored data, and over- or underdispersion.
Importantly, STAR is easy to combine with existing MCMC or point estimation
methods for continuous data, which allows seamless adaptation of continuous data
models (such as linear regressions, additive models, BART, random forests,
and gradient boosting machines) for count-valued data. The package also includes several
methods for modeling count time series data, namely via warped Dynamic Linear Models.
For more details and background on these methodologies, see the works of
Kowal and Canale (2020) <doi:10.1214/20-EJS1707>,
Kowal and Wu (2022) <doi:10.1111/biom.13617>,
King and Kowal (2022) <arXiv:2110.14790>, and
Kowal and Wu (2023) <arXiv:2110.12316>.

Brian King

countSTAR

Flexible Modeling of Count Data

Dan Kowal

roaches function

## `roaches`
A data frame with 262 obs. of 6 variables:<dl>
<dt>y</dt>
<dd>Number of roaches caught</dd><dt>roach1</dt>
<dd>Pretreatment number of roaches</dd><dt>treatment</dt>
<dd>Treatment indicator</dd><dt>senior</dt>
<dd>Indicator for only elderly residents in building</dd><dt>exposure2</dt>
<dd>Number of days for which the roach traps were used</dd>
</dl>

Format

Data on the efficacy of a pest management system at reducing the number of
roaches in urban apartments. — roaches

## `roaches`
A data frame with 262 obs. of 6 variables:<dl>
<dt>y</dt>
<dd>Number of roaches caught</dd>

<dt>roach1</dt>
<dd>Pretreatment number of roaches</dd>

<dt>treatment</dt>
<dd>Treatment indicator</dd>

<dt>senior</dt>
<dd>Indicator for only elderly residents in building</dd>

<dt>exposure2</dt>
<dd>Number of days for which the roach traps were used</dd>


</dl>

roaches: Data on the efficacy of a pest management system at reducing the number of roaches in urban apartments.

Description

Usage

Arguments

Format