biv_dens: Estimate the joint density of two random variables (markers)
In sealx017/MIAMI: Mutual Information-based Analysis of Multiplex Imaging data
Description
Usage
Arguments
Value
Description
Estimate the joint density of two random variables (markers)
Usage
1
biv_dens(dat, ngrids = 512, maxs = "default")
Arguments
dat
is a matrix of intensity of two random variables.
ngrids
is the number of grid-points to be used in estimating the kernel density. The diagonal
multivariate plug-in bandwidth estimator is used.
maxs
is either a character named "default" or a vector of two values which will respectively be
the maximum values considered for the two variables. If maxs = "default", the maximum of each of the data
vectors are considered.
Value
It returns a kde object with estimated density and the grid-points from the ks package.
sealx017/MIAMI documentation built on Feb. 11, 2022, 12:20 a.m.
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Description Usage Arguments Value
Description
Estimate the joint density of two random variables (markers)
Usage
1 | biv_dens(dat, ngrids = 512, maxs = "default")
|
Arguments
dat |
is a matrix of intensity of two random variables. |
ngrids |
is the number of grid-points to be used in estimating the kernel density. The diagonal multivariate plug-in bandwidth estimator is used. |
maxs |
is either a character named "default" or a vector of two values which will respectively be the maximum values considered for the two variables. If maxs = "default", the maximum of each of the data vectors are considered. |
Value
It returns a kde object with estimated density and the grid-points from the ks package.
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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