markov: Compute ratings from a stochastic matrix
In shinault/rater: Ratings and Rankings for Anything
Description
Usage
Arguments
Value
Description
This function computes ratings from a stochastic matrix.
The stochastic matrix can be made irreducible or slightly perturbed by
choosing 0 < beta < 1.
Usage
1
Arguments
stoc_mtx
a matrix containing the transition information. The matrix
entry A[i,j] encodes the transistion probability from candidate i
to candidate j
beta
a numeric parameter to guarantee an irreducible Markov matrix
Value
A vector containing the Markov ratings for the candidates
shinault/rater documentation built on May 23, 2019, 7:35 a.m.
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Description Usage Arguments Value
Description
This function computes ratings from a stochastic matrix. The stochastic matrix can be made irreducible or slightly perturbed by choosing 0 < beta < 1.
Usage
1 |
Arguments
stoc_mtx |
a matrix containing the transition information. The matrix entry A[i,j] encodes the transistion probability from candidate i to candidate j |
beta |
a numeric parameter to guarantee an irreducible Markov matrix |
Value
A vector containing the Markov ratings for the candidates
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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