predict.cat_glm

This function generates predictions for new data points based on a fitted categorical Generalized Linear Model (GLM) object.
Depending on the type of model, it either uses <code><a href="/link/stats%3A%3Apredict.glm?package=catalytic&version=0.1.0" data-mini-rdoc="catalytic::stats::predict.glm">stats::predict.glm</a></code> or calculates predictions based on the model coefficients.

To improve estimation accuracy and stability in statistical modeling, catalytic prior distributions are employed, integrating observed data with synthetic data generated from a simpler model's predictive distribution. This approach enhances model robustness, stability, and flexibility in complex data scenarios. The catalytic prior distributions are introduced by 'Huang et al.' (2020, <doi:10.1073/pnas.1920913117>), Li and Huang (2023, <doi:10.48550/arXiv.2312.01411>).

Dongming Huang

catalytic

Tools for Applying Catalytic Priors in Statistical Modeling

Yitong Wu

Weihao Li

Ministry of Education, Singapore 

predict.cat_glm function

<dl><dt>object</dt>
<dd>A fitted model object of class <code>cat_glm</code>, containing the GLM fit and model details.</dd>
<dt>newdata</dt>
<dd>An optional data frame containing new predictor values. If <code>NULL</code>,
the function uses the observation data from the model's initialization object.</dd>
<dt>...</dt>
<dd>Additional arguments passed to <code><a href="/link/stats%3A%3Apredict.glm?package=catalytic&version=0.1.0" data-mini-rdoc="catalytic::stats::predict.glm">stats::predict.glm</a></code>, if applicable.
User should input <code>type = c("link", "response", "terms")</code> for different regression models.</dd></dl>

Arguments

This function generates predictions for new data points based on a fitted categorical Generalized Linear Model (GLM) object.
Depending on the type of model, it either uses <code><a href='https://rdrr.io/r/stats/predict.glm.html'>stats::predict.glm</a></code> or calculates predictions based on the model coefficients.

Predict Outcome for New Data Using a Fitted GLM Model — predict.cat_glm

<dl>

<dt>object</dt>
<dd>A fitted model object of class <code>cat_glm</code>, containing the GLM fit and model details.</dd>


<dt>newdata</dt>
<dd>An optional data frame containing new predictor values. If <code>NULL</code>,
the function uses the observation data from the model's initialization object.</dd>


<dt>...</dt>
<dd>Additional arguments passed to <code><a href='https://rdrr.io/r/stats/predict.glm.html'>stats::predict.glm</a></code>, if applicable.
User should input <code>type = c("link", "response", "terms")</code> for different regression models.</dd>

</dl>

predict.cat_glm: Predict Outcome for New Data Using a Fitted GLM Model

Description

Usage

Value

Arguments