statistics-resampling

Statistical analysis using resampling methods

https://github.com/gnu-octave/statistics-resampling

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Penn, Andrew Charles. Resampling Methods for Small Samples or Samples with Complex Dependence Structures [Https://Github.com/Gnu-Octave/Statistics-Resampling/]. Zenodo, 2020, doi:10.5281/ZENODO.3992392.

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General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
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  • Linux
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5.7.0

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5.6.0

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5.5.18

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5.5.17

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5.5.16

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5.5.15

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5.5.14

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5.5.13

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5.5.12

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5.5.11

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5.5.10

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5.5.9

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5.5.8

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5.5.7

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5.5.6

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5.5.5

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5.5.4

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5.5.3

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5.5.2

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5.5.1

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5.5.0

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5.4.4

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5.4.3

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5.4.2

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5.4.1

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5.4.0

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5.3.5

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5.3.3

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5.3.2

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5.3.1

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5.3.0

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5.2.8

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5.2.7

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5.2.6

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5.2.5

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5.2.4

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5.2.3

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5.2.2

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5.2.1

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5.2.0

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5.1.6

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5.1.5

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5.1.4

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5.1.3

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5.1.2

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5.1.1

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5.1.0

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5.0.2

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5.0.1

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5.0.0

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4.2.0

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4.1.1

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4.1.0

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4.0.0

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3.10.2

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3.10.1

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3.9.3

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3.9.2

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3.9.1

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3.8.1

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3.8.0

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3.7.16

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3.7.15

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3.7.14

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3.7.13

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3.7.12

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3.7.11

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3.7.10

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3.7.9

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3.7.8

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3.7.7

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3.7.6

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3.7.5

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3.7.4

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3.7.3

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3.7.2

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3.7.1

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3.7.0

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3.6.10

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3.6.9

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3.6.8

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3.6.7

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3.6.6

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3.6.5

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3.6.4

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3.6.3

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3.6.2

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3.6.1

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3.6.0

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3.5.1

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3.5.0

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3.4.0

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3.3.9

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3.3.8

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3.3.5

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3.3.4

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3.3.2

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3.3.1

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3.3.0

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3.2.4

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3.2.2

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3.2.1

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3.2.0

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3.1.7

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3.1.6

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3.1.5

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3.1.4

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3.1.3

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3.1.2

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3.1.1

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3.1.0

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3.0.3

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3.0.2

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2.9.2

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2.9.1

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2.9.0

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1.8.0

Moved to Github. Calibration and interval construction carried out by interpolating from the empirical distribution function. Minor performance improvement by avoiding a sort in the second bootstrap. Coverage confirmed with simulations.

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1.7.1

Performance enhancement for the second bootstrap through alternative execution of randperm

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1.7.0

Included error message when second bootstrap replicate size is insufficient for the desired alpha. Minor improvement to the calibration included. Changed output arguments: Now includes output structure (of settings and results) and calibration curve.

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1.6.3

Added back a warning for when the resulting intervals hit the end(s) of the bootstrap distribution

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1.6.2

Corrected typos (missing % signs) in the comments of the examples in the description

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1.6.2-5

Updated image icon

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1.6.2-4

Adjusted icon image dimensions

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1.6.2-3

Adjusted icon image dimensions

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1.6.2-2

Adjusted icon image size

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1.6.2-1

Minor update to function description. Added image icon.

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1.6.2-0

Swapped the order of output arguments to match Matlabs bootci

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1.6.1

Set default bootstrap type to percentile.

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1.6.0

Added the ability to use different types of intervals: percentile or BCa. The BCa type interval is the default.

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1.5.4

Made minor changes to the description and to the function help

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1.5.4-1

Corrected description

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1.5.4-0

Added the capability to use bootidx input when calculating bootstrap confidence for multivariate data. Modified default values for nboot

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1.5.3

Clarified some of the help/comments and included another example of it's usage for calculating confidence intervals for the median

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1.5.3-2

Updated some comments

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1.5.3-1

Modified default values for the number of bootstrap samples

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1.5.3-0

Modified the implementation with weights based on simulation results

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1.5.2

Updated the help comments

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1.5.2-0

Fixed a bug preventing some function usage. Added back the ability to use functions (in the bootfun input argument) that do not output a row vector for matrix input argument(s) (e.g. 'corr' function).

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1.5.1

Removed depreciated lines of code

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1.5.1-0

Implemented appropriated weight allocation for the second bootstrap

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1.5.0

Added interpolation also to the first bootstrap. Performance improvements made to the resampling algorithm. Added feature to provide weights to modify sampling probabilities.

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1.4.1

Corrected a mistake presented in example 3 (in comment only).

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1.4.0

1.4.0.0 - Implementation modified for less memory footprint. Algorithm now uses balanced resampling. Coverage is calibrated using the interpolation method instead of the approximate Monte Carlo method. Also returns bias of the bootstrap.

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1.3.0

Simplified title

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1.2.0

Now less stringent data requirements. Data can be row vectors or column vectors

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1.1.0

Now checks the dimensions of the data

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1.0.0

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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.