P.rs.joint: Description: Joint probabiity density for mode and sample...
In netresponse: Functional Network Analysis
Description
Usage
Details
Author(s)
References
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
1
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")
netresponse documentation built on Nov. 8, 2020, 5:04 p.m.
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Description Usage Details Author(s) References
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
1 | 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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