lcauchyp_gradient: Gradient function for normalized log-Cauchy probability...
In mpiktas/midasr: Mixed Data Sampling Regression
lcauchyp_gradient R Documentation
Gradient function for normalized log-Cauchy probability density function MIDAS weights specification
Description
Calculate gradient function for normalized log-Cauchy probability density function specification of MIDAS weights.
Usage
lcauchyp_gradient(p, d, m)
Arguments
p
parameters for normalized log-Cauchy probability density function
d
number of coefficients
m
the frequency ratio, currently ignored
Value
vector of coefficients
Author(s)
Julius Vainora
mpiktas/midasr documentation built on Aug. 24, 2022, 2:32 p.m.
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| lcauchyp_gradient | R Documentation |
Gradient function for normalized log-Cauchy probability density function MIDAS weights specification
Description
Calculate gradient function for normalized log-Cauchy probability density function specification of MIDAS weights.
Usage
lcauchyp_gradient(p, d, m)
Arguments
p |
parameters for normalized log-Cauchy probability density function |
d |
number of coefficients |
m |
the frequency ratio, currently ignored |
Value
vector of coefficients
Author(s)
Julius Vainora
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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