cl_Estep: E-step for clusterCVR
In kuriwaki/clusterCVR: A Clustering Algorithm for Cast Vote Records
cl_Estep R Documentation
E-step for clusterCVR
Description
E-step for clusterCVR
Usage
cl_Estep(zeta = zeta_hat, .mu, .pi, y = data$uy, m = data$m, .IIA)
Arguments
zeta
N by K matrix of Zetas to update
y
the list of voters
m
missingness
.IIA
whether or not there is missingness. IIA = TRUE if yes.
mu
parameters mu
pi
parameters pi
kuriwaki/clusterCVR documentation built on July 31, 2024, 8:28 p.m.
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| cl_Estep | R Documentation |
E-step for clusterCVR
Description
E-step for clusterCVR
Usage
cl_Estep(zeta = zeta_hat, .mu, .pi, y = data$uy, m = data$m, .IIA)
Arguments
zeta |
N by K matrix of Zetas to update |
y |
the list of voters |
m |
missingness |
.IIA |
whether or not there is missingness. IIA = TRUE if yes. |
mu |
parameters mu |
pi |
parameters pi |
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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