Package index

Regression

glmFitFeatures(<ANY>,<ANY>,<GenomicDataStream>)

Fit GLM For Many Features

glmFitResponses(<sparseMatrix>) glmFitResponses(<ANY>) glmFitResponses(<DelayedArray>)

Fit GLM For Many Responses

glmmFitFeatures(<ANY>,<ANY>,<GenomicDataStream>)

Fit GLMM For Many Features

glmmFitResponses(<sparseMatrix>) glmmFitResponses(<ANY>) glmmFitResponses(<DelayedArray>)

Fit GLMM For Many Responses

lmFitFeatures(<ANY>,<ANY>,<GenomicDataStream>)

Fit Linear Regression For Many Features

lmFitResponses(<sparseMatrix>) lmFitResponses(<ANY>) lmFitResponses(<DelayedArray>)

Fit Linear Regression For Many Responses

lmmFitFeatures(<ANY>,<ANY>,<GenomicDataStream>)

Fit LMM For Many Features

lmmFitResponses(<sparseMatrix>) lmmFitResponses(<ANY>) lmmFitResponses(<DelayedArray>)

Fit LMM For Many Responses

Residuals

ResidualMatrixGLM()

Construct a lazy residual matrix

ResidualMatrixGLM-class

Stores Residuals From GLM(M)

ResidualMatrixGLMSeed-class

ResidualMatrixGLMSeed class

chunkSize() `chunkSize<-`()

Get chunk size for matrix operations

dashSVD(<ResidualMatrixGLM>)

Dynamic Shifts Based Randomized SVD

`%*%`(<ResidualMatrixGLM>,<ANY>) crossprod(<ResidualMatrixGLM>,<ANY>)

Matrix Product