Sampling Algorithms for Two-Class Imbalanced Data Sets in R
-
Updated
Mar 2, 2018 - R
Sampling Algorithms for Two-Class Imbalanced Data Sets in R
This Shiny R application serves the purpose of visualizing and comparing various free-scale and random growing graphs. Application made as part of the TquanT 2018 seminar on quantitative thinking.
Conditional Random Sampling Sparse Matrices
Predicting-NPS-Score-Harward-Business-Case-Study-
Sampling preserving the frequencies of qualitative variables
R package: sampling procedures from the book 'Stichproben - Methoden und praktische Umsetzung mit R' by Goeran Kauermann and Helmut Kuechenhoff (2010).
PPQplan — Process Performance Qualification (PPQ) Plans in Chemistry, Manufacturing and Controls (CMC) Statistical Analysis
Network Simulation Framework, with a Zest of Empiricism
R package for diagnosis and meta-analysis of studies that measure size and prevalence of hard-to-reach populations
Simulate a fisheries creel survey.
DECO :: Decomposing heterogeneous population cohorts for patient stratification and discovery of biomarkers using omic data profiling. R package
A R package to perform uniform sampling in the environmental space
Add a description, image, and links to the sampling-methods topic page so that developers can more easily learn about it.
To associate your repository with the sampling-methods topic, visit your repo's landing page and select "manage topics."