Credit

Data for 1000 clients of a south german bank, 700 good payers and
300 bad payers. They are used to construct a credit scoring method.

datasets

Contains the datasets for use with the book Salvan, Sartori and Pace (2020, ISBN:978-88-470-4002-1) "Modelli Lineari Generalizzati".

Nicola Sartori

MLGdata

Datasets for Use with Salvan, Sartori and Pace (2020)

Credit function

Data frame with 1000 observations on the following 8 variables<dl class="dl-horizontal">
<dt><code>Y</code></dt><dd>a factor with levels
<code>buen</code>
<code>mal</code>, the response variable. buen is the good payers.</dd>
<dt><code>Cuenta</code></dt><dd>a factor with levels
<code>no</code>
<code>good running</code>
<code>bad running</code>, quality of the credit clients bank account.</dd>
<dt><code>Mes</code></dt><dd>a numeric vector, duration of loan in months.</dd>
<dt><code>Ppag</code></dt><dd>a factor with levels
<code>pre buen pagador</code>
<code>pre mal pagador</code>, if the client previosly have been a
good or bad payer.</dd>
<dt><code>Uso</code></dt><dd>a factor with levels
<code>privado</code>
<code>profesional</code>, the use to which the loan is made.</dd>
<dt><code>DM</code></dt><dd>a numeric vector, the size of loan in german marks.</dd>
<dt><code>Sexo</code></dt><dd>a factor with levels
<code>mujer</code>
<code>hombre</code>, sex of the client.</dd>
<dt><code>Estc</code></dt><dd>a factor with levels
<code>no vive solo</code>
<code>vive solo</code>, civil state of the client.</dd>
</dl>

Format

Credit Score Data From a South German Bank — Credit

Data frame with 1000 observations on the following 8 variables<dl class='dl-horizontal'>
<dt><code>Y</code></dt><dd>a factor with levels
<code>buen</code>
<code>mal</code>, the response variable. buen is the good payers.</dd>
<dt><code>Cuenta</code></dt><dd>a factor with levels
<code>no</code>
<code>good running</code>
<code>bad running</code>, quality of the credit clients bank account.</dd>
<dt><code>Mes</code></dt><dd>a numeric vector, duration of loan in months.</dd>
<dt><code>Ppag</code></dt><dd>a factor with levels
<code>pre buen pagador</code>
<code>pre mal pagador</code>, if the client previosly have been a
good or bad payer.</dd>
<dt><code>Uso</code></dt><dd>a factor with levels
<code>privado</code>
<code>profesional</code>, the use to which the loan is made.</dd>
<dt><code>DM</code></dt><dd>a numeric vector, the size of loan in german marks.</dd>
<dt><code>Sexo</code></dt><dd>a factor with levels
<code>mujer</code>
<code>hombre</code>, sex of the client.</dd>
<dt><code>Estc</code></dt><dd>a factor with levels
<code>no vive solo</code>
<code>vive solo</code>, civil state of the client.</dd>
</dl>

Credit: Credit Score Data From a South German Bank

Description

Arguments

Format