blc_2: The blc_2 function
In gevaertlab/EpiMix: EpiMix: an integrative tool for the population-level analysis of DNA methylation
blc_2 R Documentation
The blc_2 function
Description
Internal. Fits a beta mixture model for any number of classes. Adapted from RPMM package.
Usage
blc_2(Y, w, maxiter = 25, tol = 1e-06, weights = NULL, verbose = TRUE)
Arguments
Y
Data matrix (n x j) on which to perform clustering.
w
Initial weight matrix (n x k) representing classification.
maxiter
Maximum number of EM iterations.
tol
Convergence tolerance.
weights
Case weights.
verbose
Verbose output.
Value
A list of parameters representing mixture model fit, including posterior weights and log-likelihood.
gevaertlab/EpiMix documentation built on July 20, 2023, 9:28 a.m.
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| blc_2 | R Documentation |
The blc_2 function
Description
Internal. Fits a beta mixture model for any number of classes. Adapted from RPMM package.
Usage
blc_2(Y, w, maxiter = 25, tol = 1e-06, weights = NULL, verbose = TRUE)
Arguments
Y |
Data matrix (n x j) on which to perform clustering. |
w |
Initial weight matrix (n x k) representing classification. |
maxiter |
Maximum number of EM iterations. |
tol |
Convergence tolerance. |
weights |
Case weights. |
verbose |
Verbose output. |
Value
A list of parameters representing mixture model fit, including posterior weights and log-likelihood.
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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