R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.
-
Updated
Jul 22, 2018 - R
R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.
Supervisor : Dr. Bhaswati Ganguly
Ce projet estime les paramètres d'un modèle via le maximum de vraisemblance et compare des intervalles de confiance obtenus par bootstrap. Il développe également des outils d'analyse des fréquences de lettres, utilisant un algorithme MCMC pour déchiffrer efficacement un message codé.
course sub-material for statistical computing class (2021 Fall)
solving problems with data analysis, hypotheses and the most used statistical tests in ecology
This is an ongoing project on Characterizing, calculating and understanding(the drivers of) Elevational Migration of resient birds in the southern western Ghats.
A short script that lays out a complete resampling approach for unbiased data analysis. Data from R's ratdat library is used for demonstration.
Exercises in Machine Learning with R
Instructional materials (course files) for the BBT4206 course (Business Intelligence II) using R. Topic: Resampling Methods.
Statistical Forecasting tools
Add a description, image, and links to the resampling-methods topic page so that developers can more easily learn about it.
To associate your repository with the resampling-methods topic, visit your repo's landing page and select "manage topics."