Simultaneous Signal Analysis (ssa)
Procedures for analyzing simultaneous signals, e.g., features that are simultaneously significant in two different studies. Includes methods for detecting simultaneous signals and for identifying them under false discovery rate control.
Evaluate Periodicity in Large Scale Data (MetaCycle)
Provides two functions-meta2d and meta3d for detecting rhythmic signals from time-series datasets. For analyzing time-series datasets without individual information, ‘meta2d’ is suggested, which could incorporates multiple methods from ARSER, JTK_CYCLE and Lomb-Scargle in the detection of interested rhythms. For analyzing time-series datasets with individual information, ‘meta3d’ is suggested, which takes use of any one of these three methods to analyze time-series data individual by individual and gives out integrated values based on analysis result of each individual.
A Simplified Interface for Running Commands on Parallel Processes (mcparallelDo)
Provides a function that wraps mcparallel() and mccollect() from ‘parallel’ with temporary variables and a task handler. Wrapped in this way the results of an mcparallel() call can be returned to the R session when the fork is complete without explicitly issuing a specific mccollect() to retrieve the value. Outside of top-level tasks, multiple mcparallel() jobs can be retrieved with a single call to mcparallelDoCheck().