makeXZy

Processes a model formula and a data frame to generate design matrices (<code>X</code> and <code>Z</code>)
and a response vector (<code>y</code>) for regression models, including support for complex
formulas with <code>|</code> operators.

internal

Estimates one-inflated positive Poisson (OIPP) and
one-inflated zero-truncated negative binomial (OIZTNB) regression
models. A suite of ancillary statistical tools are also provided,
including: estimation of positive Poisson (PP) and zero-truncated
negative binomial (ZTNB) models; marginal effects and their standard
errors; diagnostic likelihood ratio and Wald tests; plotting;
predicted counts and expected responses; and random variate
generation. The models and tools, as well as four applications, are
shown in Godwin, R. T. (2024). "One-inflated zero-truncated count
regression models" arXiv preprint <doi:10.48550/arXiv.2402.02272>.

Ryan T. Godwin

oneinfl

Estimates OIPP and OIZTNB Regression Models

makeXZy function

<dl><dt>formula</dt>
<dd>A symbolic description of the model, where the left-hand side specifies
the response variable and the right-hand side specifies predictors.
Formulas can include a <code>|</code> operator to separate predictors for different components of a model.</dd>
<dt>df</dt>
<dd>A data frame containing the variables specified in the formula.</dd></dl>

Arguments

Prepare Design Matrices and Response Vector — makeXZy

<dl>

<dt>formula</dt>
<dd>A symbolic description of the model, where the left-hand side specifies
the response variable and the right-hand side specifies predictors.
Formulas can include a <code>|</code> operator to separate predictors for different components of a model.</dd>


<dt>df</dt>
<dd>A data frame containing the variables specified in the formula.</dd>

</dl>

makeXZy: Prepare Design Matrices and Response Vector

Description

Usage

Value

Arguments

Details

See Also