Man pages for GPrank
Gaussian Process Ranking of Multiple Time Series

apply_gpTestPerforming Gaussian process test
bbgp_snpDataObtaining counts data in the format of example snpData by...
bitseq_fitGPsFitting GP models for the BitSeq example
bitseq_plotGPPlotting fitted GP models for the BitSeq example
bitseq_rnaSeqDataObtaining data in the format of example RNAseqDATA by using...
bitseq_setPlotConfiguring the settings of the plots for the BitSeq example
constructModelConstructing GP model with the specified kernels
createDatabaseBuilding SQLite database
fixedvarianceKernComputefixedvarianceKernCompute
fixedvarianceKernDiagComputefixedvarianceKernDiagCompute
fixedvarianceKernExpandParamfixedvarianceKernExpandParam
fixedvarianceKernExtractParamfixedvarianceKernExtractParam
fixedvarianceKernGradientfixedvarianceKernGradient
fixedvarianceKernParamInitfixedvarianceKernParamInit
get_bbgpMeanStdComputing means and standard deviations for the BBGP (beta...
getColorVectorExtracting distinctive colors from RColorBrewer package
getModelKernParamsGetting the values of the kernel parameters of the GP model
getYlimitsSetting limits for the y-axis
GPrank-packageGPrank - Gaussian Process ranking of multiple time series
plotGPPlotting fitted GP models
RNAseqDATASample data obtained from example BitSeq output files
setInitParamsInitializing kernel parameters
snpDataSample data for demonstrating the application of experimental...
GPrank documentation built on Aug. 17, 2018, 5:04 p.m.