fitMultiTrialModel: Fit model and remove outliers from a multi-trial dataset

In wolfemd/genomicMateSelectR: Genomic Mate Selection

Fit model and remove outliers from a multi-trial dataset

Description

NOT CURRENTLY IN USE / PROBABLY DEPRECATED

Usage

fitMultiTrialModel(curatedTrialData, GID = "GID")

Arguments

GID

Details

Actually expects input to be BLUPs from single-trial mixed-models. Fits mixed-models across trials and removes outliers. Returns de-regressed BLUPs and more.

NOTICE: This function is part of a family of functions ("cassavabase_pheno_pipeline") developed as part of the NextGen Cassava Breeding Project genomic selection pipeline. For some examples of their useage:

• IITA_2021GS (should be first use of this package)

• NRCRI_2021GS

• TARI_2020GS

• IITA_2020GS

See Also

Other cassavabase_pheno_pipeline: calcPropMissing(), curateTrialOneTrait(), curateTrialsByTrait(), detectExptDesigns(), makeTrialTypeVar(), nestByTrials(), nestDesignsDetectedByTraits(), nestForMultiTrialAnalysis(), nestTrialsByTrait(), readDBdata(), renameAndSelectCols()

wolfemd/genomicMateSelectR documentation built on July 1, 2022, 10:42 p.m.