get.df.Student

Estimates the nu parameter (degrees of freedom) of the multivariate Student
distribution when the correlation matrix Sig is given

Application of multi-site models for daily precipitation and temperature data.
This package is designed for an application to 105 precipitation and 26 temperature gauges located in Switzerland.
It applies fitting procedures and provides weather generators described in the following references:
- Evin, G., A.-C. Favre, and B. Hingray. (2018) <doi:10.5194/hess-22-655-2018>.
- Evin, G., A.-C. Favre, and B. Hingray. (2018) <doi:10.1007/s00704-018-2404-x>.

Guillaume Evin

GWEX

Multi-Site Stochastic Models for Daily Precipitation and
Temperature

get.df.Student function

<dl><dt>P</dt>
<dd>matrix of non-zero precipitation (zero precipitation are set to NA)</dd>
<dt>Sig</dt>
<dd>correlation matrix</dd>
<dt>max.df</dt>
<dd>maximum degrees of freedom tested (default=20)</dd></dl>

Arguments

Author

get.df.Student — get.df.Student

<dl>

<dt>P</dt>
<dd>matrix of non-zero precipitation (zero precipitation are set to NA)</dd>


<dt>Sig</dt>
<dd>correlation matrix</dd>


<dt>max.df</dt>
<dd>maximum degrees of freedom tested (default=20)</dd>

</dl>

get.df.Student: get.df.Student

Description

Usage

Value

Arguments

Author

References