nbeta

Calculate MIDAS weights according to normalized beta probability density function specification

Methods and tools for mixed frequency time series data analysis.
Allows estimation, model selection and forecasting for MIDAS regressions.

Vaidotas Zemlys

midasr

Mixed Data Sampling Regression

Vaidotas Zemlys-Balevičius

Virmantas Kvedaras

nbeta function

<dl><dt>p</dt>
<dd>parameters for normalized beta probability density function</dd>
<dt>d</dt>
<dd>number of coefficients</dd>
<dt>m</dt>
<dd>the frequency ratio, currently ignored</dd></dl>

Arguments

Virmantas Kvedaras, Vaidotas Zemlys

Author

Normalized beta probability density function MIDAS weights specification — nbeta

<dl>

<dt>p</dt>
<dd>parameters for normalized beta probability density function</dd>


<dt>d</dt>
<dd>number of coefficients</dd>


<dt>m</dt>
<dd>the frequency ratio, currently ignored</dd>

</dl>

nbeta: Normalized beta probability density function MIDAS weights specification

Description

Usage

Value

Arguments

Author