dpgmm: Do MCMC for dpgmm model
In emittman/dpOMP: Parallelized Gibbs Sampler for DPGMM Model
Description
Do MCMC for dpgmm model
Usage
1
Arguments
data
A column-major $G \cdot VN$ gene expressionvector/matrix
design
A column-major $V \cdot V$ experimental design vector/matrix
lambda2
prior variance for base measure
alpha
DP concentration parameter
G
number of genes
V
number of varieties/groups
K
maximum number of clusters
N
samples per variety/group
emittman/dpOMP documentation built on May 16, 2019, 5:09 a.m.
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.
Description
Do MCMC for dpgmm model
Usage
1 |
Arguments
data |
A column-major $G \cdot VN$ gene expressionvector/matrix |
design |
A column-major $V \cdot V$ experimental design vector/matrix |
lambda2 |
prior variance for base measure |
alpha |
DP concentration parameter |
G |
number of genes |
V |
number of varieties/groups |
K |
maximum number of clusters |
N |
samples per variety/group |
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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.