em.control: Control Parameters for the EM algorithm
In shay-y/repfdr: Replicability Analysis for Multiple Studies of High Dimension

Description Usage Arguments Details Value See Also Examples

Input parameters for the EM algorithm.

1 2	em.control(pi.initial = NULL, max.iter = 10000, tol = 1e-12, nr.threads = 0, verbose = TRUE)

`pi.initial`	Initial guess for the probabilities of the vectors of associations status. If `NULL` then 0.9 is assigned for the `c(0,...,0)` configuration and 0.1 is distributed uniformly for all other configurations.
`max.iter`	Maximum number of EM iterations.
`tol`	Tolerance (in maximum absolute difference between two EM iterations in estimated probabilities) before declaring convergence and stopping.
`nr.threads`	Number of processing threads to use. If zero (the default), will automatically detect the number of compute cores available and spawn one thread per core.
`verbose`	An indicator of whether to report progress (running iteration number) during computation.

The function is used inside the control argument in repfdr and piem.

A list with the input values.

repfdr piem

## Not run: 
download.file('http://www.math.tau.ac.il/~ruheller/repfdr_RData/binned_zmat.RData',
  destfile = "binned_zmat.RData")
load(file = "binned_zmat.RData")
out <- repfdr(pbz,bz,"replication",
              control = em.control(pi.initial = c(0.48,rep(0.02,26)),
              verbose = TRUE, nr.threads = 1))
# iterations are printed; run bit slower (1 thread)

## End(Not run)