credit


The <code>credit</code> data frame has 1000 rows and 8 columns. This are 
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

Data and functions for the book "Multivariate Statistical
Modelling Based on Generalized Linear Models", first edition, by
Ludwig Fahrmeir and Gerhard Tutz.  Useful when using the book.

Kjetil Halvorsen

Fahrmeir

Data from the Book "Multivariate Statistical Modelling Based on
Generalized Linear Models", First Edition, by Ludwig Fahrmeir
and Gerhard Tutz

credit function

This data frame contains the following columns:
<dl>
<dt>Y</dt><dd>
a factor with levels
<code>buen</code> 
<code>mal</code>, the response variable. buen is the good payers.
</dd> <dt>Cuenta</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>Mes</dt><dd>
a numeric vector, duration of loan in months.
</dd> <dt>Ppag</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>Uso</dt><dd>
a factor with levels
<code>privado</code> 
<code>profesional</code>, the use to which the loan is made. 
</dd> <dt>DM</dt><dd>
a numeric vector, the size of loan in german marks.
</dd> <dt>Sexo</dt><dd>
a factor with levels
<code>mujer</code> 
<code>hombre</code>, sex of the client.
</dd> <dt>Estc</dt><dd>
a factor with levels
<code>no vive solo</code> 
<code>vive solo</code>, civil state of the client. 
</dd> </dl> 

Format

Fahrmeier and Tutz, <em>Multivariate Generalized Linear Models</em>, 
 Springer Verlag.

credit: Credit Score Data From a South German Bank

Description

Usage

Arguments

Format

Source

Examples