Function reference
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Internal.compute_cor() - Internal.compute_cor
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Internal.compute_errorRatio() - Internal.compute_errorRatio
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Internal.compute_targetVal() - Internal.compute_targetVal
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Internal.createFolds() - Internal.createFolds
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Internal.remove_NA() - Internal.remove_NA
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Internal.run_ensemble() - Internal.run_ensemble
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apply_imputation() - apply_imputation
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apply_tigerFilt() - Apply a S3 tiger filter object to a pmartR S3 object
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bc_combat() - ComBat adjusted object
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bc_eigenMS() - EigenMS adjusted object
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bc_nomis() - NOMIS normalized adjusted object
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bc_pareto() - Pareto Scaling adjusted object
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bc_power() - Power Scaling adjusted object
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bc_qcrfsc() - QCRFSC batch correction
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bc_qcrlsc() - Run QC-RLSC Normalization
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bc_range() - Range Scaling adjusted object
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bc_ruvRandom() - RUV-random normalized adjusted object
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bc_serrf() - SERRF batch correction
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bc_tiger() - TIGER batch correction
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bc_waveica() - WaveICA batch correction
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compute_RSD() - compute_RSD
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compute_targetVal() - compute_targetVal
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danceR_filter_worker() - malbacR Filter Worker
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get_data_batch() - Fetch the Logical Vector of if data has been batch corrected
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get_batch_parameters()get_batch_method() - Fetch the Batch Effect Parameters
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get_params() - Get Parameters for QC-RLSC Normalization
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imputation() - imputation
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normalize_qcrlsc() - QC-RLSC Normalization
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optimal_span() - Get optimal span value
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pmart_amide - pmartR-friendly "Amide" Data
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pmart_amideFilt - Filtered pmartR-friendly "Amide" Data
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pmart_mix - pmartR-friendly "mix" Data
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pmart_mixFilt - Filtered pmartR-friendly "mix" Data
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print(<tigerFilt>) - print.tigerFilt
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rank_becas() - Rank Batch Corrected Data
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run_TIGER_internal() - run_TIGER_internal
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scale_method() - Perform scale method on data
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select_variable() - select_variable
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tiger_filter() - TIGER filtering