createEqualFreqBins

Create bins (equal frequency binning)

Provides functions to fit Accurate Generalized Linear Model (AGLM) models, visualize them, and predict for new data. AGLM is defined as a regularized GLM which applies a sort of feature transformations using a discretization of numerical features and specific coding methodologies of dummy variables. For more information on AGLM, see Suguru Fujita, Toyoto Tanaka, Kenji Kondo and Hirokazu Iwasawa (2020) <https://www.institutdesactuaires.com/global/gene/link.php?doc_id=16273&fg=1>.

Kenji Kondo

aglm

Accurate Generalized Linear Model

Kazuhisa Takahashi

Hikari Banno

createEqualFreqBins function

<dl><dt>x_vec</dt>
<dd>A numeric vector, whose quantiles are used as breaks.</dd>
<dt>nbin.max</dt>
<dd>The maximum number of bins.</dd></dl>

Arguments

Author

Create bins (equal frequency binning) — createEqualFreqBins

<dl>

<dt>x_vec</dt>
<dd>A numeric vector, whose quantiles are used as breaks.</dd>


<dt>nbin.max</dt>
<dd>The maximum number of bins.</dd>

</dl>

createEqualFreqBins: Create bins (equal frequency binning)

Description

Usage

Value

Arguments

Author