nbetaMT_gradient: Gradient function for normalized beta probability density...
In mpiktas/midasr: Mixed Data Sampling Regression
nbetaMT_gradient R Documentation
Gradient function for normalized beta probability density function MIDAS weights specification
(MATLAB toolbox compatible)
Description
Calculate gradient function for normalized beta probability density function specification of MIDAS weights.
Usage
nbetaMT_gradient(p, d, m)
Arguments
p
parameters for normalized beta probability density function
d
number of coefficients
m
the frequency ratio, currently ignored
Value
vector of coefficients
Author(s)
Virmantas Kvedaras, Vaidotas Zemlys
mpiktas/midasr documentation built on Aug. 24, 2022, 2:32 p.m.
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| nbetaMT_gradient | R Documentation |
Gradient function for normalized beta probability density function MIDAS weights specification (MATLAB toolbox compatible)
Description
Calculate gradient function for normalized beta probability density function specification of MIDAS weights.
Usage
nbetaMT_gradient(p, d, m)
Arguments
p |
parameters for normalized beta probability density function |
d |
number of coefficients |
m |
the frequency ratio, currently ignored |
Value
vector of coefficients
Author(s)
Virmantas Kvedaras, Vaidotas Zemlys
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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