mcen_bin_workhorse: Calculates cluster assignment and coefficient estimates for a...
In mcen: Multivariate Cluster Elastic Net

mcen_bin_workhorse

R Documentation

Calculates cluster assignment and coefficient estimates for a binomial mcen.

Description

Calculates cluster assignment and coefficient estimates for a binomial mcen.

Usage

mcen_bin_workhorse(beta, delta = NULL, y, x, family = "mbinomial",
  ky = NULL, gamma_y = 1, eps = 1e-05, clusterMethod = "kmeans",
  clusterIterations = 100, clusterStartNum = 30, cluster_y = NULL,
  max_iter = 10)

Arguments

`beta`	Initial estimate of coefficients.
`delta`	Tuning parameter for L1 penalty.
`y`	Matrix of responses.
`x`	Matrix of predictors.
`family`	type of likelihood used two options "mgaussian" or "mbinomial"
`ky`	Number of clusters used for grouping response variables.
`gamma_y`	Tuning parameter for the penalty between fitted values for responses in the same group.
`eps`	Convergence criteria
`clusterMethod`	Which clustering method was used, currently support kmeans or kmeanspp
`clusterIterations`	Number of iterations for cluster convergence
`clusterStartNum`	Number of random starting points for clustering
`cluster_y`	An a priori definition of clusters. If clusters are provided they will remain fixed and are not estimated. Objective function is then convex.
`max_iter`	The maximum number of iterations for estimating the coefficients