Function reference • powsimR

All functions
`Bulk_Read_Counts`	Parekh et al. 2016: Gene Expression Matrices
`CELseq2_Gene_Read_Counts` `CELseq2_Gene_UMI_Counts` `DropSeq_Gene_Read_Counts` `DropSeq_Gene_UMI_Counts` `MARSseq_Gene_Read_Counts` `MARSseq_Gene_UMI_Counts` `SCRBseq_Gene_Read_Counts` `SCRBseq_Gene_UMI_Counts` `SmartSeq_Gene_Read_Counts` `SmartSeq2_Gene_Read_Counts`	Ziegenhain et al. 2017: Gene Expression Matrices
`GeneLengths_hg19`	Parekh et al. 2016: Gene Lengths
`GeneLengths_mm10`	Ziegenhain et al. 2017: Gene Lengths
`Setup()`	Setup options for RNA-seq count simulations
`CELseq2_SpikeIns_Read_Counts` `CELseq2_SpikeIns_UMI_Counts` `DropSeq_SpikeIns_Read_Counts` `DropSeq_SpikeIns_UMI_Counts` `MARSseq_SpikeIns_Read_Counts` `MARSseq_SpikeIns_UMI_Counts` `SCRBseq_SpikeIns_Read_Counts` `SCRBseq_SpikeIns_UMI_Counts` `SmartSeq_SpikeIns_Read_Counts` `SmartSeq2_SpikeIns_Read_Counts`	Ziegenhain et al. 2017: Spike-Ins Expression
`CELseq2_SpikeInfo` `MARSseq_SpikeInfo` `SCRBseq_SpikeInfo` `SmartSeq_SpikeInfo` `SmartSeq2_SpikeInfo`	Ziegenhain et al. 2017: Spike-Ins Information
`estimateParam()`	Estimate simulation parameters
`estimateSpike()`	Estimate simulation parameters for spike-ins
`evaluateDE()`	Compute the confusion matrix-related quantities from simulation results
`evaluateDist()`	Model Diagnostics for RNAseq Data
`evaluateROC()`	Receiver operator characteristics of simulation results
`evaluateSim()`	Compute the performance related metrics from simulation results.
`plotEvalDE()`	Visualize power assessment
`plotEvalDist()`	Visualize distribution assessment
`plotEvalROC()`	Visualize error rate curves and associated summary statistics
`plotEvalSim()`	Visualize power assessment
`plotParam()`	Visualize distributional characteristics of RNA-seq experiment
`plotSpike()`	Visualize distributional characteristics of spike-ins
`plotTime()`	Visualize computational time
`printEvalDE()`	Summary table of power assessment
`simulateDE()`	Simulate Differential Expression Pipeline

Reference

All functions