get_standardized_data

This function standardizes a dataset by converting columns to numeric or factor types and replacing NA values.
For continuous variables, NA values are replaced with either a specific numeric value or a computed statistic.
For categorical variables, NA values are replaced with the mode of the column.

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 

get_standardized_data function

<dl><dt>data</dt>
<dd>A data frame to be standardized.</dd>
<dt>na_replace</dt>
<dd>A function or numeric value used to replace NA values. If a function, it should take a vector and return a replacement value.
If a numeric value, it is used directly to replace NA values in continuous columns.
The default is <code><a href="/link/stats%3A%3Ana.omit?package=catalytic&version=0.1.0" data-mini-rdoc="catalytic::stats::na.omit">stats::na.omit</a></code>, which omits rows with NA values (used as an indicator here, not the actual replacement value).</dd></dl>

Arguments

Standardize Data — get_standardized_data

<dl>

<dt>data</dt>
<dd>A data frame to be standardized.</dd>


<dt>na_replace</dt>
<dd>A function or numeric value used to replace NA values. If a function, it should take a vector and return a replacement value.
If a numeric value, it is used directly to replace NA values in continuous columns.
The default is <code><a href='https://rdrr.io/r/stats/na.fail.html'>stats::na.omit</a></code>, which omits rows with NA values (used as an indicator here, not the actual replacement value).</dd>

</dl>

get_standardized_data: Standardize Data

Description

Usage

Value

Arguments