Statistical Tools for Filebacked Big Matrices
Scaling function creator
Plotly text
AUC
Split-Apply-Combine
Attach a Filebacked Big Matrix
Standard univariate statistics
Copy as a Filebacked Big Matrix
Correlation
Counts for class FBM.code256
Cross-product with a matrix
Cross-product with a vector
Crossprod
Increment an FBM
Split-parApply-Combine
Product with a matrix
Product with a vector
Randomized partial SVD
Read a file as FBM
Some scaling functions
Sparse linear regression
Sparse logistic regression
Partial SVD
Tcrossprod
Transpose an FBM
Column-wise linear regression
Column-wise logistic regression
Write an FBM to a file
bigstatsr: Statistical Tools for Filebacked Big Matrices
Determine a correct value for the block.size parameter
Sparse regression path
Train one model
Numeric matrix from data frame
Create an Implementation of [ For Custom Matrix-Like Types
Class FBM
Methods for the FBM class
Class FBM.code256
Combine sets of coefficients
Get coordinates on plot
Partial correlation
Plot method
Plot method
Plot method
Predict method
Predict method
Scores of PCA
Predict method
Objects exported from other packages
Create an Implementation of [<- For Custom Matrix-Like Types
Replace extension '.bk'
Summary method
Theme ggplot2
Temporarily disable downcast warning
Easy-to-use, efficient, flexible and scalable statistical tools. Package bigstatsr provides and uses Filebacked Big Matrices via memory-mapping. It provides for instance matrix operations, Principal Component Analysis, sparse linear supervised models, utility functions and more <doi:10.1093/bioinformatics/bty185>.