P.rs.joint: Description: Joint probabiity density for mode and sample...
In antagomir/netresponse: Functional Network Analysis
P.rs.joint R Documentation
Description: Joint probabiity density for mode and sample group
Mainly for internal use; documentation will be provided later. Tools for calculating densities with Gaussian mixture models.
Description
Arguments:
@param dat features x samples data matrix for mixture modeling
@param pars Gaussian mixture model parameters (diagonal covariances); list with elements mu (mean vectors), sd (covariance diagonals), w (weights). The mu and sd are component x features matrices, w is vector giving weight for each component.
@param log Logical. Return densities in log domain.
Usage
P.rs.joint(dat, pars, log = TRUE)
Details
Returns:
@return Probability density
Author(s)
Contact: Leo Lahti leo.lahti@iki.fi
References
See citation("netresponse")
antagomir/netresponse documentation built on March 30, 2023, 7:24 a.m.
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| P.rs.joint | R Documentation |
Description: Joint probabiity density for mode and sample group Mainly for internal use; documentation will be provided later. Tools for calculating densities with Gaussian mixture models.
Description
Arguments: @param dat features x samples data matrix for mixture modeling @param pars Gaussian mixture model parameters (diagonal covariances); list with elements mu (mean vectors), sd (covariance diagonals), w (weights). The mu and sd are component x features matrices, w is vector giving weight for each component. @param log Logical. Return densities in log domain.
Usage
P.rs.joint(dat, pars, log = TRUE)
Details
Returns: @return Probability density
Author(s)
Contact: Leo Lahti leo.lahti@iki.fi
References
See citation("netresponse")
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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