confint_2group_diff

A range of functions to compute bootstraps for the mean difference

 calculate_weighted_delta (group_var, differences, resamples)

Compute the weighted deltas.

 calculate_group_var (control_var, control_N, test_var, test_N)

 compute_interval_limits (bias, acceleration, n_boots, ci=95)

Returns the indexes of the interval limits for a given bootstrap.

Supply the bias, acceleration factor, and number of bootstraps.

 compute_meandiff_bias_correction (bootstraps, effsize)

Computes the bias correction required for the BCa method of confidence interval construction.

	Type	Details
bootstraps		An numerical iterable, comprising bootstrap resamples of the effect size.
effsize		The effect size for the original sample.
Returns	bias: numeric	The bias correction value for the given bootstraps and effect size.

 compute_bootstrapped_diff (x0, x1, is_paired, effect_size,
                            resamples=5000, random_seed=12345)

Bootstraps the effect_size for 2 groups.

 compute_meandiff_jackknife (x0, x1, is_paired, effect_size)

Given two arrays, returns the jackknife for their effect size.

 create_repeated_indexes (data)

Convenience function. Given an array-like with length N, returns a generator that yields N indexes [0, 1, …, N].

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 create_jackknife_indexes (data)

Given an array-like, creates a jackknife bootstrap.

For a given set of data Y, the jackknife bootstrap sample J[i] is defined as the data set Y with the ith data point deleted.

	Type	Details
data
Returns	Generator that yields all jackknife bootstrap samples.