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update matlab toolbox and online manual with bug fix
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‎docs/description.json‎

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"package":
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{
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"name": "statistics-resampling",
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"version": "5.5.15",
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"version": "5.5.16",
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"description": "The statistics-resampling package is an Octave package and Matlab toolbox that can be used to perform a wide variety of statistics tasks using non-parametric resampling methods. In particular, the functions included can be used to estimate bias, uncertainty (standard errors and confidence intervals), prediction error, and calculate p-values for null hypothesis significance tests. Variations of the resampling methods are included that improve the accuracy of the statistics for small samples and samples with complex dependence structures.",
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"shortdescription": "The statistics-resampling package is an Octave package and Matlab toolbox that can be used to perform a wide variety of statistics tasks using non-parametric resampling methods",
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"date": "2024-05-24",

‎docs/function/boot.html‎

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Columns 1 through 12:
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2 3 3 2 2 2 1 1 3 1 3 3
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3 1 3 1 2 3 2 2 2 1 2 1
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2 1 3 3 2 1 2 3 1 2 1 2
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3 1 3 1 1 1 3 3 3 1 3 2
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3 1 3 2 1 1 2 3 1 2 3 1
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3 2 2 2 1 3 2 3 2 1 3 2
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Columns 13 through 20:
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2 1 2 2 3 3 1 1
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2 2 3 3 1 1 3 3
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3 1 1 1 2 3 3 1</pre>
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2 2 2 3 1 1 2 1
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2 2 1 1 3 3 2 2
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3 2 1 3 3 1 1 2</pre>
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</div>
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<h3><a name="2">Demonstration 2</a></h3>
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Columns 1 through 12:
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2 3 2 2 3 1 3 1 2 2 1 2
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2 1 1 2 3 2 2 1 1 3 3 1
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3 3 1 2 3 1 3 1 2 2 3 2
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2 3 1 2 1 2 3 1 2 3 1 1
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3 1 2 2 1 2 3 1 1 3 1 2
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3 3 1 3 1 2 3 3 2 2 1 2
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Columns 13 through 20:
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2 3 1 2 1 2 3 3
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3 3 1 2 1 1 1 2
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3 1 1 3 3 1 3 2</pre>
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3 3 2 2 1 2 2 2
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2 3 2 3 1 1 3 1
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3 1 1 3 1 2 3 3</pre>
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</div>
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<h3><a name="3">Demonstration 3</a></h3>

‎docs/function/boot1way.html‎

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-----------------------------------------------------------------------------
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| Comparison | Test # | Ref # | Difference | t | p |
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|------------|------------|------------|------------|------------|----------|
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| 1 | 2 | 1 | -0.3941 | -0.92 | .298 |
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| 1 | 2 | 1 | +0.3886 | +0.79 | .424 |
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-----------------------------------------------------------------------------
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| GROUP # | GROUP label | N |
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-----------------------------------------------------------------------------
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| Comparison | Test # | Ref # | Difference | t | p |
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|------------|------------|------------|------------|------------|----------|
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| 1 | 2 | 1 | -0.06583 | -0.11 | .897 |
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| 1 | 2 | 1 | -0.3233 | -0.70 | .280 |
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-----------------------------------------------------------------------------
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| GROUP # | GROUP label | N |

‎docs/function/bootbayes.html‎

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Posterior Statistics:
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original bias median stdev CI_lower CI_upper
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+184.5 +0.002267 +184.4 1.285 +182.0 +187.2</pre>
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+184.5 +0.01497 +184.5 1.289 +181.9 +187.0</pre>
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</div>
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<h3><a name="2">Demonstration 2</a></h3>
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Posterior Statistics:
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original bias median stdev CI_lower CI_upper
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+175.5 -0.05393 +175.5 2.382 +170.9 +180.1
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+0.1904 +0.001229 +0.1905 0.07973 +0.03445 +0.3433</pre>
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+175.5 +0.01508 +175.5 2.372 +171.2 +180.1
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+0.1904 -0.0006274 +0.1905 0.07826 +0.04002 +0.3438</pre>
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</div>
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<p>Package: <a href="../index.html">statistics-resampling</a></p>

‎docs/function/bootci.html‎

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<p>Produces the following output</p>
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<pre class="example">ci =
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-0.14522 -0.24578
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0.52548 0.21074</pre>
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-0.65399 -0.99282
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0.24451 0.40299</pre>
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</div>
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<h3><a name="11">Demonstration 11</a></h3>

‎docs/function/bootclust.html‎

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Bootstrap Statistics:
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original bias std_error CI_lower CI_upper
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-0.01466 +0.008048 +0.1644 -0.2685 +0.2730
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-0.3673 +0.01481 +0.1988 -0.6876 -0.03620</pre>
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-0.1799 -0.007339 +0.2585 -0.6067 +0.2508
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-0.1218 -0.02885 +0.2777 -0.6030 +0.2821</pre>
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</div>
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<h3><a name="8">Demonstration 8</a></h3>
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Bootstrap Statistics:
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original bias std_error CI_lower CI_upper
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+0.06679 -0.04155 +0.2747 -0.3193 +0.6091
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+0.3205 +0.07195 +0.3240 -0.1417 +0.8961</pre>
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-0.1460 +0.03458 +0.1694 -0.3947 +0.1270
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-0.1339 +0.005021 +0.2194 -0.5363 +0.1780</pre>
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</div>
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<h3><a name="9">Demonstration 9</a></h3>

‎docs/function/bootknife.html‎

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Bootstrap Statistics:
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original bias std_error CI_lower CI_upper
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-0.1408 -0.001400 +0.2037 -0.4468 +0.2220
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+0.1314 +0.006638 +0.2106 -0.1736 +0.5228</pre>
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-0.01258 +0.03757 +0.2620 -0.5191 +0.3663
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+0.1489 -0.06760 +0.2996 -0.3410 +0.6202</pre>
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</div>
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<h3><a name="9">Demonstration 9</a></h3>

‎docs/function/bootmode.html‎

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<p>Produces the following output</p>
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<pre class="example">ans = Summary of results:
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ans = H1 is 1 with p = 0.001 so reject the null hypothesisthat there is 1 mode
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ans = H1 is 1 with p = 0.0005 so reject the null hypothesisthat there is 1 mode
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ans = H2 is 0 with p = 0.322 so accept the null hypothesis that there are 2 modes</pre>
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ans = H2 is 0 with p = 0.33 so accept the null hypothesis that there are 2 modes</pre>
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</div>
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<p>Package: <a href="../index.html">statistics-resampling</a></p>

‎docs/function/bootstrp.html‎

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vs. Smoothing; Proceedings of the Section on Statistics & the
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Environment. Alexandria, VA: American Statistical Association.
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bootstrp (version 2024.05.15)
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bootstrp (version 2024.05.24)
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Author: Andrew Charles Penn
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https://www.researchgate.net/profile/Andrew_Penn/
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‎docs/function/bootwild.html‎

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Test Statistics:
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original std_err CI_lower CI_upper t-stat p-val FPR
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+184.5 +1.243 +181.5 +187.5 +148. <.001 .010</pre>
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+184.5 +1.243 +181.6 +187.4 +148. <.001 .010</pre>
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</div>
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<h3><a name="2">Demonstration 2</a></h3>
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Test Statistics:
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original std_err CI_lower CI_upper t-stat p-val FPR
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+175.5 +2.502 +169.7 +181.3 +70.1 <.001 .010
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+0.1904 +0.08261 +0.003945 +0.3769 +2.31 .046 .279</pre>
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+175.5 +2.502 +169.9 +181.1 +70.1 <.001 .010
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+0.1904 +0.08261 +0.005723 +0.3751 +2.31 .046 .277</pre>
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</div>
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<p>Package: <a href="../index.html">statistics-resampling</a></p>

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