asPlotlyText | Plotly text |
as_scaling_fun | Scaling function creator |
AUC | AUC |
big_apply | Split-Apply-Combine |
big_attach | Attach a Filebacked Big Matrix |
big_colstats | Standard univariate statistics |
big_copy | Copy as a Filebacked Big Matrix |
big_cor | Correlation |
big_counts | Counts for class FBM.code256 |
big_cprodMat | Cross-product with a matrix |
big_cprodVec | Cross-product with a vector |
big_crossprodSelf | Crossprod |
big_increment | Increment an FBM |
big_parallelize | Split-parApply-Combine |
big_prodMat | Product with a matrix |
big_prodVec | Product with a vector |
big_randomSVD | Randomized partial SVD |
big_read | Read a file as FBM |
big_scale | Some scaling functions |
big_spLinReg | Sparse linear regression |
big_spLogReg | Sparse logistic regression |
bigstatsr-package | bigstatsr: Statistical Tools for Filebacked Big Matrices |
big_SVD | Partial SVD |
big_tcrossprodSelf | Tcrossprod |
big_transpose | Transpose an FBM |
big_univLinReg | Column-wise linear regression |
big_univLogReg | Column-wise logistic regression |
big_write | Write an FBM to a file |
block_size | Determine a correct value for the block.size parameter |
COPY_biglasso_main | Sparse regression path |
COPY_biglasso_part | Train one model |
covar_from_df | Numeric matrix from data frame |
Extract | Create an Implementation of [ For Custom Matrix-Like Types |
FBM-class | Class FBM |
FBM.code256-class | Class FBM.code256 |
FBM-methods | Methods for the FBM class |
get_beta | Combine sets of coefficients |
pasteLoc | Get coordinates on plot |
pcor | Partial correlation |
plot.big_sp_list | Plot method |
plot.big_SVD | Plot method |
plot.mhtest | Plot method |
predict.big_sp | Predict method |
predict.big_sp_list | Predict method |
predict.big_SVD | Scores of PCA |
predict.mhtest | Predict method |
reexports | Objects exported from other packages |
Replace | Create an Implementation of [<- For Custom Matrix-Like Types |
sub_bk | Replace extension '.bk' |
summary.big_sp_list | Summary method |
theme_bigstatsr | Theme ggplot2 |
without_downcast_warning | Temporarily disable downcast warning |
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