solveV: Solve method for variance matrices.
In mlysy/losmix: Inference for Gaussian Location-Scale Mixed-Effects Models
Description
Usage
Arguments
Details
Value
Description
Solve method for variance matrices.
Usage
1
Arguments
V
Symmetric positive-definite (i.e., variance) matrix.
b
Optional vector or matrix for which to solve the system of equations V x = b. If missing calculates the inverse of V.
ldV
Optionally compute the log determinant as well.
Details
This function is faster and more stable than base::solve when V is known to be positive-definite.
Value
The solution of the system of equations, or a list with elements x and ldV returning the log-determinant as well.
mlysy/losmix documentation built on Jan. 18, 2021, 5:56 a.m.
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Description Usage Arguments Details Value
Description
Solve method for variance matrices.
Usage
1 |
Arguments
V |
Symmetric positive-definite (i.e., variance) matrix. |
b |
Optional vector or matrix for which to solve the system of equations |
ldV |
Optionally compute the log determinant as well. |
Details
This function is faster and more stable than base::solve when V is known to be positive-definite.
Value
The solution of the system of equations, or a list with elements x and ldV returning the log-determinant as well.
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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