Function reference • bigsnpr

I/O
`snp_readBed()` `snp_readBed2()`	Read PLINK files into a "bigSNP"
`snp_writeBed()`	Write PLINK files from a "bigSNP"
`snp_readBGEN()`	Read BGEN files into a "bigSNP"
`snp_attach()`	Attach a "bigSNP" from backing files
`snp_attachExtdata()`	Attach a "bigSNP" for examples and tests
QC / relatedness / imputation
`download_plink()` `download_plink2()`	Download PLINK
`download_1000G()`	Download 1000G
`snp_plinkQC()`	Quality Control
`snp_plinkKINGQC()`	Relationship-based pruning
`snp_plinkIBDQC()`	Identity-by-descent
`snp_plinkRmSamples()`	Remove samples
`download_beagle()`	Download Beagle 4.1
`snp_beagleImpute()`	Imputation
`snp_fastImpute()`	Fast imputation
`snp_fastImputeSimple()`	Fast imputation
Pruning / correlation
`bed_clumping()` `snp_clumping()` `snp_pruning()` `snp_indLRLDR()`	LD clumping
`snp_autoSVD()` `bed_autoSVD()`	Truncated SVD while limiting LD
`snp_PRS()`	PRS
`snp_cor()`	Correlation
Stacked Clumping and Thresholding (SCT)
`snp_match()`	Match alleles
`snp_grid_clumping()` `snp_grid_PRS()` `snp_grid_stacking()`	Stacked C+T (SCT)
Multiple testing - plots
`snp_gc()`	Genomic Control
`snp_qq()`	Q-Q plot
`snp_manhattan()`	Manhattan plot
`snp_pcadapt()` `bed_pcadapt()`	Outlier detection
`snp_MAX3()`	MAX3 statistic
Utilities
`snp_match()`	Match alleles
`snp_modifyBuild()`	Modify genome build
`snp_split()`	Split-parApply-Combine
`snp_save()`	Save modifications
`snp_getSampleInfos()`	Get sample information
`snp_MAF()`	MAF
`snp_scaleBinom()`	Binomial(n, p) scaling
`subset(<bigSNP>)`	Subset
`same_ref()`	Determine reference divergence
`sub_bed()`	Replace extension '.bed'
PLINK bed files
`bed()`	Class bed
`bed_MAF()`	Allele frequencies
`snp_autoSVD()` `bed_autoSVD()`	Truncated SVD while limiting LD
`bed_clumping()` `snp_clumping()` `snp_pruning()` `snp_indLRLDR()`	LD clumping
`bed_counts()`	Counts
`bed_cprodVec()`	Cross-product with a vector
`snp_pcadapt()` `bed_pcadapt()`	Outlier detection
`bed_prodVec()`	Product with a vector
`bed_projectPCA()`	Projecting PCA
`bed_projectSelfPCA()`	Projecting PCA
`bed_randomSVD()`	Randomized partial SVD
`bed_scaleBinom()`	Binomial(2, p) scaling
`bed_tcrossprodSelf()`	Tcrossprod

Reference

I/O

QC / relatedness / imputation

Pruning / correlation

Stacked Clumping and Thresholding (SCT)

Multiple testing - plots

Utilities

PLINK bed files

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