examine_edge_optimisation_matrix: Examine the edge optimisation matrix to detect unfitted admix...
In admixturegraph: Admixture Graph Manipulation and Fitting
Description
Usage
Arguments
Value
See Also
Description
If the essential number of equations is not higher than the essential number of
edge variables, the quality of edge optimisation will not depend on the admix
variables (expect possibly in isolated special cases where the quality can be worse),
and a complaint will be given.
Note: The admix variable not being fitted does not mean that there is no evidence of
an admix event! Isolated values of the admix variables, possibly 0 or 1,
might give significantly worse fit than a typical value (but not the other way around).
Usage
1
examine_edge_optimisation_matrix(matrix, tol = 1e-08)
Arguments
matrix
Not really a matrix but two (should be an output of
build_edge_optimisation_matrix).
tol
Calulating the rank with qr.solve sometimes crashes.
Default 10^(-8).
Value
An indicator of warning (complaint), coding all the possibilities in
a way that is interpreted elsewhere (in summary.agraph_fit).
See Also
admixturegraph documentation built on May 2, 2019, 6:02 a.m.
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Description Usage Arguments Value See Also
Description
If the essential number of equations is not higher than the essential number of edge variables, the quality of edge optimisation will not depend on the admix variables (expect possibly in isolated special cases where the quality can be worse), and a complaint will be given. Note: The admix variable not being fitted does not mean that there is no evidence of an admix event! Isolated values of the admix variables, possibly 0 or 1, might give significantly worse fit than a typical value (but not the other way around).
Usage
1 | examine_edge_optimisation_matrix(matrix, tol = 1e-08)
|
Arguments
matrix |
Not really a matrix but two (should be an output of
|
tol |
Calulating the rank with |
Value
An indicator of warning (complaint), coding all the possibilities in
a way that is interpreted elsewhere (in summary.agraph_fit).
See Also
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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