bpr_EM_fast: Cluster methylation profiles fast method
In andreaskapou/BPRMeth-devel: Model higher-order methylation profiles

Efficient implementation for clustering methylation profiles using the EM algorithm, given a design matrix H.

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bpr_EM_fast(x, H, K = 2, pi_k = rep(1/K, K), w = NULL,
  em_max_iter = 100, epsilon_conv = 1e-05, lambda = 1/2,
  opt_method = "CG", opt_itnmax = 100, is_verbose = FALSE)

`x`	Observations, stored in a list object.
`H`	The design matrix H
`K`	Integer denoting the number of clusters K.
`pi_k`	Vector of length K, denoting the mixing proportions.
`w`	A MxK matrix, where each column consists of the basis function coefficients for each corresponding cluster.
`em_max_iter`	Integer denoting the maximum number of EM iterations.
`epsilon_conv`	Numeric denoting the convergence parameter for EM.
`lambda`	The complexity penalty coefficient for ridge regression.
`opt_method`	The optimization method to be used. See `optim` for possible methods. Default is "CG".
`opt_itnmax`	Optional argument giving the maximum number of iterations for the corresponding method. See `optim` for details.
`is_verbose`	Logical, print results during EM iterations.