s_fit_primitive: Estimate Student's t distribution parameters using Batch...
In merkys/MixtureFitting: Fitting of univariate mixture distributions to data using various approaches
View source: R/MixtureFitting.R
s_fit_primitive R Documentation
Estimate Student's t distribution parameters using Batch Approximation Algorithm.
Description
Estimates parameters for univariate Student's t distribution
parameters using Batch Approximation Algorithm, according to Fig. 2
of Aeschliman et al. (2010).
Usage
s_fit_primitive( x )
Arguments
x
data vector
Value
Vector c( mu, k, ni ), where
mu is the center,
k is the concentration and
ni is the degrees of freedom of the distribution.
Author(s)
Andrius Merkys
References
Aeschliman, C.; Park, J. & Kak, A. C. A
Novel Parameter Estimation Algorithm for the Multivariate t-Distribution
and Its Application to Computer Vision
European Conference on Computer Vision 2010, 2010
https://engineering.purdue.edu/RVL/Publications/Aeschliman2010ANovel.pdf
merkys/MixtureFitting documentation built on May 25, 2024, 9:01 a.m.
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View source: R/MixtureFitting.R
| s_fit_primitive | R Documentation |
Estimate Student's t distribution parameters using Batch Approximation Algorithm.
Description
Estimates parameters for univariate Student's t distribution parameters using Batch Approximation Algorithm, according to Fig. 2 of Aeschliman et al. (2010).
Usage
s_fit_primitive( x )
Arguments
x |
data vector |
Value
Vector c( mu, k, ni ), where
mu is the center,
k is the concentration and
ni is the degrees of freedom of the distribution.
Author(s)
Andrius Merkys
References
Aeschliman, C.; Park, J. & Kak, A. C. A Novel Parameter Estimation Algorithm for the Multivariate t-Distribution and Its Application to Computer Vision European Conference on Computer Vision 2010, 2010 https://engineering.purdue.edu/RVL/Publications/Aeschliman2010ANovel.pdf
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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