pmclust (version 0.1-1)

.0.readme: Read me first function

Description

This function print the annotations of all variables used in this package.

Usage

readme()

Value

• A readme message will print on screen by default and explain the global variables used in this package, including: ll{CHECK convergent checking CLASS.worker true id of each data, a vector of length N.worker and has values from 1 to K COMM.RANK rank of current processor, obtained from mpi.comm.rank COMM.SIZE total processors in MPI world, obtained from mpi.comm.size CONTROL controls for EM iterations PARAM set or parameters SAVE.param (debug only) save parameters for every iterations SAVE.iter (debug only) save computing time for every iterations U.worker temporary storage for density W.worker temporary storage for eta * density W.worker.rowSums temporary storage for rowSums of W.worker X.worker generated data set with dimension with dimension N.worker * p Z.colSums temporary storage for rowSums of Z.worker Z.worker posterior probabilities p.times.logtwopi p * log(2 * pi) } Each variable may contain several elements if it is a list, some variables are used for temporary storages in order to optimize computing, and some variables are used for constant variables. These variables may be restricted, and only generated by the function set.global.

Details

This package is optimized in the way by pre-specifying several global variables. These variables will be overwrote by EM algorithms. Users should use these names to access the results and utilize them with cautions.

References

High Performance Statistical Computing Website: http://thirteen-01.stat.iastate.edu/snoweye/hpsc/

See Also

set.global, printmpi.

Examples

readme()