bradleyterry_from_sparse: Indicator matrix from two sparse matrices for Bradley-Terry...
In jvparidon/lmerMultiMember: Multiple membership random effects
View source: R/weights_from_vector.R
bradleyterry_from_sparse R Documentation
Indicator matrix from two sparse matrices for Bradley-Terry models
Description
Provides a helper function for generating indicator matrices
Usage
bradleyterry_from_sparse(winners, losers)
Arguments
winners
sparse matrix containing the winner for each observation
losers
sparse matrix containing the loser for each observation
Value
sparse Bradley-Terry indicator matrix of type Matrix::dgCMatrix
Examples
winners <- Matrix::fac2sparse(c("k", "k", "l", "m", "m"))
losers <- Matrix::fac2sparse(c("l", "m", "m", "k", "l"))
Wwl <- bradleyterry_from_sparse(winners, losers)
jvparidon/lmerMultiMember documentation built on Oct. 22, 2023, 3:42 p.m.
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View source: R/weights_from_vector.R
| bradleyterry_from_sparse | R Documentation |
Indicator matrix from two sparse matrices for Bradley-Terry models
Description
Provides a helper function for generating indicator matrices
Usage
bradleyterry_from_sparse(winners, losers)
Arguments
winners |
sparse matrix containing the winner for each observation |
losers |
sparse matrix containing the loser for each observation |
Value
sparse Bradley-Terry indicator matrix of type Matrix::dgCMatrix
Examples
winners <- Matrix::fac2sparse(c("k", "k", "l", "m", "m"))
losers <- Matrix::fac2sparse(c("l", "m", "m", "k", "l"))
Wwl <- bradleyterry_from_sparse(winners, losers)
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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