The `scorecard` package makes the development of credit risk scorecard
easier and efficient by providing functions for some common tasks,
such as data partition, variable selection, woe binning, scorecard scaling,
performance evaluation and report generation. These functions can also used
in the development of machine learning models.
The references including:
1. Refaat, M. (2011, ISBN: 9781447511199). Credit Risk Scorecard:
Development and Implementation Using SAS.
2. Siddiqi, N. (2006, ISBN: 9780471754510). Credit risk scorecards.
Developing and Implementing Intelligent Credit Scoring.

Credit Risk Scorecard

package-ubuntu-20.04-r-4.0.5#cran#scorecard-0.3.2

<p>This function provides descriptive statistic for exploratory data analysis.
</p>

<table summary="R argblock"><tr valign="top">
<td><code>dt</code></td>
<td>
<p>A data frame.</p>
</td>
</tr></table>

data("germancredit")

eda = describe(germancredit)
eda

package-ubuntu-20.04-r-4.0.5#cran#scorecard-0.3.2#docs#describe

describe

Description

Usage

Arguments

Examples

scorecard

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