newton.raph: Newton Raphson Alogorithm
In JackStat/CompPack: Collection of Computational Statistic Tools
Description
Usage
Arguments
Value
Author(s)
Description
A method for obtaining successively better approximations
for the optimal value of a function. Named after Sir
Isaac Newton and Joseph Raphson.
Usage
1
newton.raph(f, d1f, d2f, start, tol = 1e-06)
Arguments
f
The function that you want to optimize.
d1f
the 1st derivative of the function.
d2f
the 2nd derivative of the function.
start
The starting value for optimization.
tol
The level of tolerance desired for
convergence.
Value
Estimate Initial estimate of the optimum value.
Iterations Number of cycles used to obtain the optimum
value of the function.
Liklihood Optimum value
Author(s)
Tyler Hunt tyler@psychoanalytix.com
JackStat/CompPack documentation built on May 7, 2019, 10:16 a.m.
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Description Usage Arguments Value Author(s)
Description
A method for obtaining successively better approximations for the optimal value of a function. Named after Sir Isaac Newton and Joseph Raphson.
Usage
1 | newton.raph(f, d1f, d2f, start, tol = 1e-06)
|
Arguments
f |
The function that you want to optimize. |
d1f |
the 1st derivative of the function. |
d2f |
the 2nd derivative of the function. |
start |
The starting value for optimization. |
tol |
The level of tolerance desired for convergence. |
Value
Estimate Initial estimate of the optimum value.
Iterations Number of cycles used to obtain the optimum value of the function.
Liklihood Optimum value
Author(s)
Tyler Hunt tyler@psychoanalytix.com
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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