The primary purpose of this package is to compare the bootstrapped sampling distributions of linear regression coefficients obtained using six different methods. Case resampling, residual resampling, Wild bootstrap with Mammen's Two-Point Distribution, Wild bootstrap with Mammen's Continuous Distribution, Wild boostrap with Rademacher Distribution, and Wild bootstrap with Standard Normal Distribution are supported. There are four main functions in this package to facilitate this. bootstrapSamples(), bootstrapSummary(), bootstrapConfint(), and coefficientPlots(). These functions generate samples, calculate summary statistics, calculate confidence intervals for parameters, and visualize the sampling distributions (respectively). This allows the user to compare the results of different sampling approaches simultaneously with ease.
Package details |
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| Maintainer | |
| License | GPL-3 |
| Version | 0.0.0.9000 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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