sp.dpvmf: Dirichet Process Mixture of von Mises-Fisher Distributions
In kyoustat/RiemSphere: What the package doesas
Description
Usage
Arguments
Value
Description
Dirichet Process Mixture of von Mises-Fisher Distributions
Usage
1
Arguments
data
an (n\times d) data matrix where x_i \in \mathcal{S}^{d-1}.
kappa0
d
mu0
d
a
d
b
d
w0
d
mh.kappa
stepsize for MH algorithm.
maxiter
d
print.progress
d
Value
a length-maxiter list whose elements are lists containing
- a
b
kyoustat/RiemSphere documentation built on April 13, 2020, 10:04 a.m.
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Description Usage Arguments Value
Description
Dirichet Process Mixture of von Mises-Fisher Distributions
Usage
1 |
Arguments
data |
an (n\times d) data matrix where x_i \in \mathcal{S}^{d-1}. |
kappa0 |
d |
mu0 |
d |
a |
d |
b |
d |
w0 |
d |
mh.kappa |
stepsize for MH algorithm. |
maxiter |
d |
print.progress |
d |
Value
a length-maxiter list whose elements are lists containing
- a
b
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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