R/step_forward.r
In levimcclenny/BoolFilter: Optimal Estimation of Partially Observed Boolean Dynamical Systems
Defines functions
step.forward
step.forward <- function(z, p, A, Ap, net) {
ind=rowmatch(A,z)
out=xor(Ap[ind,], matrix(Rlab::rbern(length(net$genes)*nrow(z), p), ncol=length(net$genes)))
return(out)
}
levimcclenny/BoolFilter documentation built on May 21, 2019, 5:11 a.m.
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Defines functions step.forward
step.forward <- function(z, p, A, Ap, net) {
ind=rowmatch(A,z)
out=xor(Ap[ind,], matrix(Rlab::rbern(length(net$genes)*nrow(z), p), ncol=length(net$genes)))
return(out)
}
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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