Function reference • dbsubsampling

All functions

ComputeLoss(): Compute loss function for OSS

DDS(): Data-Driven Subsampling Based on Uniform Design

IBOSS(): Information-Based Optimal Subdata Selection for Big Data Linear Regression (IBOSS, Rcpp-c++-style by Wang)

IES(): Independence-Encouraging Subsampling for Nonparametric Additive Models (IES, Proposed by Zhang et.al. (2024))

L2norm(): Get L2 norm

Leverage(): Subsampling Based on Leverage Scores

LowCon(): LowCon: A Design-based Subsampling Approach in a Misspecified Linear Model

OSMAC(): Optimal Subsampling for Large Sample Logistic Regression(OSMAC)

OSS(): Orthogonal subsampling for big data linear regression (OSS, Rcpp-version by the package itself)

Unif(): Uniform sampling.

armaComputeLoss(): Compute loss function for OSS (RcppArmadillo-version)

armaIES(): IES Core Code Using RcppArmadillo.

armaIES_compare(): IES C++-Version for Benchmarking (C++ Core Code)

armaOSS(): OSS RcppArmadillo-version by Zhu (myArma_OSS core code)

armaScaleMatrix(): Scale a matrix (RcppArmadillo-version)

armabottom_k(): Find t smallest index of a vector (RcppArmadillo-version)

armarcppIBOSS(): IBOSS with RcppArmadillo by the package itself (myArma_IBOSS core c++ code)

bottom_t_index(): Find t smallest index of a vector

c_IES_compare(): IES C++-Version for Benchmarking (R-Wrap Code)

data_IES_Case_1_Train: Simulation datasets of IES Case1

data_IES_Case_2_Train: Simulation datasets of IES Case2

data_binary_class: An artificial data set for logistic regression

data_numeric_regression: An artificial data set for linear regression.

getIdxR_cpp(): Get subsample index of other column(except the first column) (IBOSS core code, Rcpp-C++-style by Wang)

getIdx_cpp(): Get subsample index of the first column (IBOSS core code, Rcpp-C++-style by Wang)

get_Logistic_MLE(): MLE for Logistic regression

myArma_IBOSS(): IBOSS with RcppArmadillo-r-style by the package itself.

myArma_OSS(): OSS (RcppArmadillo-version by Zhu)

myR_IBOSS(): IBOSS with base R by the package itself.

myR_OSS(): OSS with base R by the package itself.

myRcpp_IBOSS(): IBOSS with Rcpp-r-style by the package itself.

myRcpp_cstyle_IBOSS(): IBOSS with Rcpp-C++-style by the package itself.

rComputeLoss(): Compute loss function for OSS (r-version)

rL2norm(): Get L2 norm (r-version)

r_IES(): R Version of IES for Testing

r_IES_compare(): IES R-Version for Benchmarking

rbottom_t_index(): Find t smallest index of a vector.

rcppIBOSS(): IBOSS with Rcpp-r-style by the package itself (myRcppIBOSS core c++ code)

rcppOSS(): OSS Rcpp-version by the package itself (OSS core code)

rcpp_cstyle_IBOSS(): IBOSS with Rcpp-C++-style by the package itself (myRcpp_cstyle_IBOSS core c++ code)

scale01(): Scale data to \([0, 1]^p\)

scale_neg_pos_1(): Transform data to \([-1,1]^p\)

subsampling(): Get subsample index.