New Experimental Design Based Subsampling Methods for Big Data

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Documentation for package ‘NeEDS4BigData’ version 1.0.1

• DESCRIPTION file.

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ALoptimalGLMSub	A- and L-optimality criteria based subsampling under Generalised Linear Models
AoptimalGauLMSub	A-optimality criteria based subsampling under Gaussian Linear Models
AoptimalMCGLMSub	A-optimality criteria based subsampling under measurement constraints for Generalised Linear Models
Electric_consumption	Electric consumption data
GenGLMdata	Generate data for Generalised Linear Models
GenModelMissGLMdata	Generate data for Generalised Linear Models under model misspecification scenario
LCCsampling	Local case control sampling for logistic regression
LeverageSampling	Basic and shrinkage leverage sampling for Generalised Linear Models
modelMissLinSub	Subsampling under linear regression for a potentially misspecified model
modelMissLogSub	Subsampling under logistic regression for a potentially misspecified model
modelMissPoiSub	Subsampling under Poisson regression for a potentially misspecified model
modelRobustLinSub	Model robust optimal subsampling for A- and L- optimality criteria under linear regression
modelRobustLogSub	Model robust optimal subsampling for A- and L- optimality criteria under logistic regression
modelRobustPoiSub	Model robust optimal subsampling for A- and L- optimality criteria under Poisson regression
One_million_songs	One million songs data
plot_AMSE	Plotting AMSE outputs for the samples under model misspecification
plot_Beta	Plotting model parameter outputs after subsampling
Skin_segmentation	Skin segmentation data