Package jline.api.trace
Trace data analysis functions.
This package provides functions for analyzing empirical trace data, including statistical measures and transformations of time series and event traces.
See: Description
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Class Summary Class Description MtraceBackwardMomentKt Mtrace Backward Moment algorithms BootstrapResults Data classes for bootstrap results TraceStatistics MtraceBootstrapKt Mtrace Bootstrap algorithms CountStatistics Data class for count statistics SingleClassCountStats MtraceCountKt Mtrace Count algorithms MtraceCovKt Mtrace Cov algorithms MtraceCrossMomentKt Mtrace Cross Moment algorithms MtraceForwardMomentKt Mtrace Forward Moment algorithms MtraceIat2countsKt Mtrace Iat2Counts algorithms MtraceJointKt Mtrace Joint algorithms MtraceMeanKt Mtrace Mean algorithms MtraceMergeKt Mtrace Merge algorithms MtraceMomentKt Mtrace Moment algorithms MtraceMomentSimpleKt Mtrace Moment Simple algorithms MtracePcKt Mtrace Pc algorithms MtraceSigmaKt Mtrace Sigma algorithms MtraceSigma2Kt Mtrace Sigma2 algorithms MtraceSplitKt Mtrace Split algorithms MtraceSummary Data class representing a summary of multi-trace statistics MtraceSummaryKt Mtrace Summary algorithms TraceMeanKt Trace Mean algorithms TraceVarKt Trace Var algorithms Mtrace_backward_momentKt Mtrace_bootstrapKt Mtrace_countKt Mtrace_iat2countsKt Mtrace_covKt Mtrace_cross_momentKt Mtrace_forward_momentKt Mtrace_jointKt Mtrace_meanKt Mtrace_mergeKt Mtrace_momentKt Mtrace_moment_simpleKt Mtrace_pcKt Mtrace_sigmaKt Mtrace_sigma2Kt Mtrace_splitKt Mtrace_summaryKt TraceSkewKt Trace_meanKt Trace_varKt