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minor changes to documentation - bumped version too
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DESCRIPTION

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name: statistics-resampling
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version: 5.5.11
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date: 2024-05-13
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version: 5.5.12
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date: 2024-05-15
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author: Andrew Penn <andy.c.penn@gmail.com>
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maintainer: Andrew Penn <andy.c.penn@gmail.com>
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title: A statistics package with a variety of resampling tools

inst/bootclust.m

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% cluster/block (i.e. no clustering or blocking). The means of the resamples
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% are then computed and the following statistics are displayed:
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% - original: the original estimate(s) calculated by BOOTFUN and the DATA
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% - bias: bootstrap bias of the estimate(s)
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% - std_error: bootstrap standard error of the estimate(s)
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% - CI_lower: lower bound(s) of the 95% bootstrap confidence interval
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% - CI_upper: upper bound(s) of the 95% bootstrap confidence interval
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% - bias: bootstrap estimate of the bias of the sampling distribution(s)
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% - std_error: bootstrap estimate(s) of the standard error(s)
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% - CI_lower: lower bound(s) of the 95% bootstrap confidence interval(s)
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% - CI_upper: upper bound(s) of the 95% bootstrap confidence interval(s)
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%
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% 'bootclust (DATA, NBOOT)' specifies the number of bootstrap resamples,
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% where NBOOT is a scalar, positive integer corresponding to the number

inst/bootknife.m

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% (column vector or matrix) and compute their means and display the
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% following statistics:
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% - original: the original estimate(s) calculated by BOOTFUN and the DATA
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% - bias: bootstrap bias of the estimate(s)
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% - std_error: bootstrap standard error of the estimate(s)
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% - CI_lower: lower bound(s) of the 95% bootstrap confidence interval
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% - CI_upper: upper bound(s) of the 95% bootstrap confidence interval
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% - bias: bootstrap estimate of the bias of the sampling distribution(s)
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% - std_error: bootstrap estimate(s) of the standard error(s)
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% - CI_lower: lower bound(s) of the 95% bootstrap confidence interval(s)
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% - CI_upper: upper bound(s) of the 95% bootstrap confidence interval(s)
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%
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% 'bootknife (DATA, NBOOT)' specifies the number of bootstrap resamples,
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% where NBOOT can be either:

inst/bootstrp.m

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% the following basic statistics relating to each column of BOOTSTAT:
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% - original: the original estimate(s) calculated by BOOTFUN and the DATA
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% - mean: the mean of the bootstrap distribution(s)
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% - bias: bootstrap bias estimate(s)
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% - bias: bootstrap estimate of the bias of the sampling distribution(s)
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% - bias_corrected: original estimate(s) after subtracting the bias
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% - var: bootstrap variance of the original estimate(s)
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% - std_error: bootstrap standard error of the original estimate(s)
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% - std_error: bootstrap estimate(s) of the standard error(s)
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% If BOOTSTAT is not numeric, STATS only returns the 'original' field. If
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% BOOTFUN is empty, then the value of the 'original' field is also empty.
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%

inst/bootwild.m

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% p-values after imposing the null hypothesis (H0) [1-4]. The following
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% statistics are printed to the standard output:
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% - original: the mean of the data vector y
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% - std_err: heteroscedasticity-consistent standard error(s)
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% - std_err: heteroscedasticity-consistent standard error(s) (HC0)
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% - CI_lower: lower bound(s) of the 95% bootstrap-t confidence interval
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% - CI_upper: upper bound(s) of the 95% bootstrap-t confidence interval
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% - tstat: Student's t-statistic

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