bootR2

R package: Bootstrap Penalization for variable selection with big data

An R package implementing Rubin's (1981) Bayesian bootstrap.

Model selection for linear regression based on MM-estimators and the FRB

Contains a bootstrap wrapper for basic functions, in order to estimate effect sizes and confidence intervals (e.g. in regressions)

bootstrap methods for survey data in R

Detecting undefined, null, or empty strings. Mostly used for creating a better backend API

R package cross-validation, bootstrap, permutation, and rolling window resampling techniques for the tidyverse.

Markov chain on TED talks

old website of spicmacay

Tidy and easy bootstrapping

Package to use react-native-linear-gradient with Reason

R package for displaying bootstrap-based confidence intervals around mean and median

new feature (Event) with help of json

Estimate standarad deviation of estimates in complex surveys using bootstrap weights.

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