calculateW1Inv: Calculate the global block diagonale covariance matrix...
In dp3ll1n/SLCDP: Simulation and inference of cell differentiation process governed by logistic growth dynamics
Description
Usage
Arguments
Value
Examples
View source: R/calculateW1Inv.R
Description
Combines differential equation solutions and calculate the inverse of covariance matrix W. It is possible to add additional variance on the main diagonal (addtional source of noise) by setting lambda.
Usage
1
calculateW1Inv(sdePred, lambda = 0, ncell, combOk)
Arguments
sdePred
Differential equations solutions.
lambda
Additional variance to be added on the main diagonal of the global covariance matrix.
ncell
The number of cell types over which the process evolves.
combOk
The number of cell types over which the process evolves.
Value
Block diagonal matrix.
Examples
1
calculateW1Inv(sdePred,lambda=0,ncell,combOk)
dp3ll1n/SLCDP documentation built on Feb. 6, 2021, 9:17 p.m.
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Description Usage Arguments Value Examples
View source: R/calculateW1Inv.R
Description
Combines differential equation solutions and calculate the inverse of covariance matrix W. It is possible to add additional variance on the main diagonal (addtional source of noise) by setting lambda.
Usage
1 | calculateW1Inv(sdePred, lambda = 0, ncell, combOk)
|
Arguments
sdePred |
Differential equations solutions. |
lambda |
Additional variance to be added on the main diagonal of the global covariance matrix. |
ncell |
The number of cell types over which the process evolves. |
combOk |
The number of cell types over which the process evolves. |
Value
Block diagonal matrix.
Examples
1 | calculateW1Inv(sdePred,lambda=0,ncell,combOk)
|
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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