sparkg_sw: Fast Test for the Gaussian version of SPARK through...
In xzhoulab/SPARK: Spatial Pattern Recognition via Kernels
sparkg_sw R Documentation
Fast Test for the Gaussian version of SPARK through Satterthwaite Approximation
Description
Efficient Test with Satterthwaite Approximation in Gaussian Models.
Usage
sparkg_sw(counts, location, verbose = FALSE)
Arguments
counts:
A n x p gene expression matrix (sparseMatrix)
location:
A n x d location matrix
verbose:
A boolean value whether to print details, for debug purpose
Value
A list of estimated parameters
stats
A n x 10 matrix of test statistics for all kernels
res_stest
A n x 10 matrix of P values for all kernels
res_mtest
A n x 2 matrix of combined P values and BY-adjusted P values
xzhoulab/SPARK documentation built on Nov. 20, 2022, 2:54 p.m.
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| sparkg_sw | R Documentation |
Fast Test for the Gaussian version of SPARK through Satterthwaite Approximation
Description
Efficient Test with Satterthwaite Approximation in Gaussian Models.
Usage
sparkg_sw(counts, location, verbose = FALSE)
Arguments
counts: |
A n x p gene expression matrix (sparseMatrix) |
location: |
A n x d location matrix |
verbose: |
A boolean value whether to print details, for debug purpose |
Value
A list of estimated parameters
stats |
A n x 10 matrix of test statistics for all kernels |
res_stest |
A n x 10 matrix of P values for all kernels |
res_mtest |
A n x 2 matrix of combined P values and BY-adjusted P values |
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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