Man pages for bigstatsr
Statistical Tools for Filebacked Big Matrices

asPlotlyTextPlotly text
AUCAUC
big_applySplit-Apply-Combine
big_attachAttach a Filebacked Big Matrix
big_colstatsStandard univariate statistics
big_copyCopy a Filebacked Big Matrix
big_corCorrelation
big_countsCounts
big_cprodMatCross-product with a matrix
big_cprodVecCross-product with a vector
big_crossprodSelfCrossprod
big_parallelizeSplit-parApply-Combine
big_prodMatProduct with a matrix
big_prodVecProduct with a vector
big_randomSVDRandomized partial SVD
big_readRead a file
big_scaleSome scaling functions
big_spLinRegSparse linear regression
big_spLogRegSparse logistic regression
bigstatsr-packagebigstatsr: Statistical Tools for Filebacked Big Matrices
big_SVDPartial SVD
big_tcrossprodSelfTcrossprod
big_transposeTransposition
big_univLinRegColumn-wise linear regression
big_univLogRegColumn-wise logistic regression
block_sizeDetermine a correct value for the block.size parameter
COPY_biglasso_mainSparse regression path
COPY_biglasso_partTrain one model
ExtractCreate an Implementation of [ For Custom Matrix-Like Types
FBM-classClass FBM
FBM.code256-classClass FBM.code256
FBM.code256-methodsMethods for the FBM.code256 class
FBM-methodsMethods for the FBM class
get_betaCombine sets of coefficients
nb_coresRecommended number of cores to use
pasteLocGet coordinates
plot.big_SVDPlot method
plot.mhtestPlot method
predict.big_spPredict method
predict.big_sp_best_listPredict method
predict.big_SVDScores of PCA
predict.mhtestPredict method
ReplaceCreate an Implementation of [<- For Custom Matrix-Like Types
seq-dimSequence generation
bigstatsr documentation built on Feb. 1, 2018, 1:04 a.m.