ComputeTestQuantRcpp_Gaussian: Compute the testing quantities for linear mixed model, float...
In xzhoulab/SPARK: Spatial Pattern Recognition via Kernels
ComputeTestQuantRcpp_Gaussian R Documentation
Compute the testing quantities for linear mixed model, float format
Description
Compute the testing quantities for linear mixed model, float format
Usage
ComputeTestQuantRcpp_Gaussian(yin, Pyin, Xin, cov_matin, Din, tauin)
Arguments
yin
Working vector
Pyin
The vector P*y
Xin
Covariate matrix, including the intercept
cov_matin
Kernel matrix to be tested
Din
Weight for each gene
tauin
Initial value for variance component
Value
A list
xzhoulab/SPARK documentation built on Nov. 20, 2022, 2:54 p.m.
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| ComputeTestQuantRcpp_Gaussian | R Documentation |
Compute the testing quantities for linear mixed model, float format
Description
Compute the testing quantities for linear mixed model, float format
Usage
ComputeTestQuantRcpp_Gaussian(yin, Pyin, Xin, cov_matin, Din, tauin)
Arguments
yin |
Working vector |
Pyin |
The vector P*y |
Xin |
Covariate matrix, including the intercept |
cov_matin |
Kernel matrix to be tested |
Din |
Weight for each gene |
tauin |
Initial value for variance component |
Value
A list
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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