cl_Mstep_pi: Estep (MLE) for pi
In kuriwaki/clusterCVR: A Clustering Algorithm for Cast Vote Records
cl_Mstep_pi R Documentation
Estep (MLE) for pi
Description
Estep (MLE) for pi
Usage
cl_Mstep_pi(zeta, n_u, X = NULL, covs_gamma = NULL)
Arguments
zeta
A N by K matrix of responsibility parameters
n_u
A N by 1 vector for the number of observations for each profile.
u indexes "unique" profiles, instead of observations. If fast = FALSE,
and the observations are simply voters, the value is 1 for everyone
X
covariates, if available.
covs_gamma
starting coefficients from emlogit(zeta, X).
Value
A K by 1 vector of the mixing proportion pi (pi)
kuriwaki/clusterCVR documentation built on July 31, 2024, 8:28 p.m.
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| cl_Mstep_pi | R Documentation |
Estep (MLE) for pi
Description
Estep (MLE) for pi
Usage
cl_Mstep_pi(zeta, n_u, X = NULL, covs_gamma = NULL)
Arguments
zeta |
A N by K matrix of responsibility parameters |
n_u |
A N by 1 vector for the number of observations for each profile.
u indexes "unique" profiles, instead of observations. If |
X |
covariates, if available. |
covs_gamma |
starting coefficients from |
Value
A K by 1 vector of the mixing proportion pi (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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