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‎.nojekyll‎

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‎bayesian.html‎

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‎regression.html‎

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<details open="" class="code-fold"><summary>Code</summary><div class="code-copy-outer-scaffold"><div class="sourceCode" id="cb25"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/stats/confint.html">confint</a></span><span class="op">(</span><span class="va">robustLinearRegression</span><span class="op">)</span></span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
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</details><div class="cell-output cell-output-stdout">
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<pre><code> 2.5 % 97.5 %
1089-
(Intercept) 0.83801565 1.0499981
1089+
(Intercept) 0.83801566 1.0499981
10901090
bpi_antisocialT1Sum 0.44749135 0.5352118
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bpi_anxiousDepressedSum 0.09683728 0.2184779</code></pre>
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@@ -1118,24 +1118,24 @@
11181118

11191119
Residuals (from reweighted LS):
11201120
Min 1Q Median 3Q Max
1121-
-3.8820 -0.8888 0.0000 1.0146 3.9168
1121+
-3.9225 -0.8914 0.0000 1.0133 3.9185
11221122

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Coefficients:
11241124
Estimate Std. Error t value Pr(&gt;|t|)
1125-
Intercept 0.74524 0.04813 15.485 &lt; 2e-16 ***
1126-
bpi_antisocialT1Sum 0.55667 0.01528 36.428 &lt; 2e-16 ***
1127-
bpi_anxiousDepressedSum 0.12006 0.02351 5.107 3.5e-07 ***
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Intercept 0.74662 0.04796 15.568 &lt; 2e-16 ***
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bpi_antisocialT1Sum 0.54341 0.01525 35.644 &lt; 2e-16 ***
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bpi_anxiousDepressedSum 0.13275 0.02343 5.665 1.62e-08 ***
11281128
---
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Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
11301130

1131-
Residual standard error: 1.541 on 2713 degrees of freedom
1132-
Multiple R-Squared: 0.4158, Adjusted R-squared: 0.4153
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F-statistic: 965.4 on 2 and 2713 DF, p-value: &lt; 2.2e-16 </code></pre>
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Residual standard error: 1.535 on 2710 degrees of freedom
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Multiple R-Squared: 0.4103, Adjusted R-squared: 0.4099
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F-statistic: 942.9 on 2 and 2710 DF, p-value: &lt; 2.2e-16 </code></pre>
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</div>
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<details open="" class="code-fold"><summary>Code</summary><div class="code-copy-outer-scaffold"><div class="sourceCode" id="cb31"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/stats/confint.html">confint</a></span><span class="op">(</span><span class="va">robustLinearRegression</span><span class="op">)</span></span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
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</details><div class="cell-output cell-output-stdout">
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<pre><code> 2.5 % 97.5 %
1138-
(Intercept) 0.83801565 1.0499981
1138+
(Intercept) 0.83801566 1.0499981
11391139
bpi_antisocialT1Sum 0.44749135 0.5352118
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bpi_anxiousDepressedSum 0.09683728 0.2184779</code></pre>
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</details><div class="cell-output-display">
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</details><div class="cell-output-display">
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<div data-pagedtable="false">
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{"columns":[{"label":[""],"name":["_rn_"],"type":[""],"align":["left"]},{"label":["R"],"name":[1],"type":["dbl"],"align":["right"]},{"label":["original"],"name":[2],"type":["dbl"],"align":["right"]},{"label":["bootBias"],"name":[3],"type":["dbl"],"align":["right"]},{"label":["bootSE"],"name":[4],"type":["dbl"],"align":["right"]},{"label":["bootMed"],"name":[5],"type":["dbl"],"align":["right"]}],"data":[{"1":"1000","2":"1.1983004","3":"-0.0007285034","4":"0.06152656","5":"1.1987553","_rn_":"(Intercept)"},{"1":"1000","2":"0.4655286","3":"-0.0003535070","4":"0.02272173","5":"0.4649342","_rn_":"bpi_antisocialT1Sum"},{"1":"1000","2":"0.1607541","3":"0.0005619248","4":"0.03337405","5":"0.1607241","_rn_":"bpi_anxiousDepressedSum"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}}
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<pre><code>Bootstrap percent confidence intervals
27422742

27432743
2.5 % 97.5 %
2744-
(Intercept) 1.07415602 1.3220717
2745-
bpi_antisocialT1Sum 0.42054889 0.5082163
2746-
bpi_anxiousDepressedSum 0.09555395 0.2258131</code></pre>
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(Intercept) 1.08575639 1.3160066
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bpi_antisocialT1Sum 0.42234927 0.5124522
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bpi_anxiousDepressedSum 0.09640045 0.2301546</code></pre>
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</div>
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<details open="" class="code-fold"><summary>Code</summary><div class="code-copy-outer-scaffold"><div class="sourceCode" id="cb157"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/hist.html">hist</a></span><span class="op">(</span><span class="va">multipleRegressionModelBootstrapped</span><span class="op">)</span></span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
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</details><div class="cell-output-display">
@@ -2761,18 +2761,18 @@
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{"columns":[{"label":[""],"name":["_rn_"],"type":[""],"align":["left"]},{"label":["R"],"name":[1],"type":["dbl"],"align":["right"]},{"label":["original"],"name":[2],"type":["dbl"],"align":["right"]},{"label":["bootBias"],"name":[3],"type":["dbl"],"align":["right"]},{"label":["bootSE"],"name":[4],"type":["dbl"],"align":["right"]},{"label":["bootMed"],"name":[5],"type":["dbl"],"align":["right"]}],"data":[{"1":"1000","2":"1.1983004","3":"0.0008001839","4":"0.06058881","5":"1.1968140","_rn_":"(Intercept)"},{"1":"1000","2":"0.4655286","3":"0.0001127157","4":"0.02284653","5":"0.4652680","_rn_":"bpi_antisocialT1Sum"},{"1":"1000","2":"0.1607541","3":"0.0003086701","4":"0.03216123","5":"0.1602253","_rn_":"bpi_anxiousDepressedSum"}],"options":{"columns":{"min":{},"max":[10]},"rows":{"min":[10],"max":[10]},"pages":{}}}
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<details open="" class="code-fold"><summary>Code</summary><div class="code-copy-outer-scaffold"><div class="sourceCode" id="cb159"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/stats/confint.html">confint</a></span><span class="op">(</span><span class="va">generalizedRegressionModelBootstrapped</span>, level <span class="op">=</span> <span class="fl">.95</span>, type <span class="op">=</span> <span class="st">"bca"</span><span class="op">)</span></span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
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</details><div class="cell-output cell-output-stdout">
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<pre><code>Bootstrap percent confidence intervals
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2.5 % 97.5 %
2773-
(Intercept) 1.0835241 1.3236595
2774-
bpi_antisocialT1Sum 0.4196964 0.5112437
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bpi_anxiousDepressedSum 0.0959509 0.2235130</code></pre>
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2.5 % 97.5 %
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(Intercept) 1.07531914 1.3254388
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bpi_antisocialT1Sum 0.42002637 0.5120512
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bpi_anxiousDepressedSum 0.09507113 0.2221925</code></pre>
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<details open="" class="code-fold"><summary>Code</summary><div class="code-copy-outer-scaffold"><div class="sourceCode" id="cb161"><pre class="downlit sourceCode r code-with-copy"><code class="sourceCode R"><span><span class="fu"><a href="https://rdrr.io/r/graphics/hist.html">hist</a></span><span class="op">(</span><span class="va">generalizedRegressionModelBootstrapped</span><span class="op">)</span></span></code></pre></div><button title="Copy to Clipboard" class="code-copy-button"><i class="bi"></i></button></div>
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@@ -2833,9 +2833,9 @@
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<pre><code>
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10-fold CV results:
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Fit CV
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1 OLS 1.980462
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2 MM 1.026492
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3 LTS 1.007240
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1 OLS 1.980152
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2 MM 1.026328
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3 LTS 1.006849
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Best model:
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CV
@@ -3923,26 +3923,26 @@
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<div class="cell-output cell-output-stdout">
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<pre><code>$center
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bpi_antisocialT1Sum bpi_antisocialT2Sum
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2.245701 2.272330
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2.354446 2.232665
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$cov
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bpi_antisocialT1Sum bpi_antisocialT2Sum
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bpi_antisocialT1Sum 2.524242 1.493955
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bpi_antisocialT2Sum 1.493955 3.122528
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bpi_antisocialT1Sum 2.960392 1.912500
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bpi_antisocialT2Sum 1.912500 2.950676
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$msg
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[1] "155 singular samples of size 3 out of 1500"
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[1] "166 singular samples of size 3 out of 1500"
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$crit
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[1] 3.737972
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[1] 3.871201
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$best
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[1] 1 3 8 9 10 12
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$cor
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bpi_antisocialT1Sum bpi_antisocialT2Sum
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bpi_antisocialT1Sum 1.0000000 0.5321314
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bpi_antisocialT2Sum 0.5321314 1.0000000
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bpi_antisocialT1Sum 1.0000000 0.6470919
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bpi_antisocialT2Sum 0.6470919 1.0000000
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$n.obs
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[1] 2875</code></pre>
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bpi_antisocialT2Sum 1.096437 2.482409
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$msg
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[1] "150 singular samples of size 3 out of 1500"
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[1] "158 singular samples of size 3 out of 1500"
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$crit
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[1] -0.3839279

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