MixUpdateMeans: Mean Update for Mixture of MVNs with Missingness.
In MGMM: Missingness-Aware Gaussian Mixture Models
MixUpdateMeans R Documentation
Mean Update for Mixture of MVNs with Missingness.
Description
Paper eq. (7): \mu_j^{(r+1)} = (1/n_j) \sum_i \gamma_{ij} \hat{y}_{ij} (responsibility-weighted average of working responses).
Usage
MixUpdateMeans(split_data, means, covs, gamma)
Arguments
split_data
Data partitioned by missingness.
means
List of component means.
covs
List of component covariances.
gamma
List of component responsibilities.
Value
List containing the updated component means.
MGMM documentation built on Feb. 27, 2026, 1:07 a.m.
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| MixUpdateMeans | R Documentation |
Mean Update for Mixture of MVNs with Missingness.
Description
Paper eq. (7): \mu_j^{(r+1)} = (1/n_j) \sum_i \gamma_{ij} \hat{y}_{ij} (responsibility-weighted average of working responses).
Usage
MixUpdateMeans(split_data, means, covs, gamma)
Arguments
split_data |
Data partitioned by missingness. |
means |
List of component means. |
covs |
List of component covariances. |
gamma |
List of component responsibilities. |
Value
List containing the updated component means.
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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