build based on b90a0bb

Author: Documenter.jl

dev/.documenter-siteinfo.json

@@ -1 +1 @@
-{"documenter":{"julia_version":"1.10.1","generation_timestamp":"2024-03-01T10:36:35","documenter_version":"1.2.1"}}
+{"documenter":{"julia_version":"1.11.6","generation_timestamp":"2025-08-01T07:08:08","documenter_version":"1.2.1"}}

dev/SobolSensitivityEstimator/index.html

@@ -9,5 +9,5 @@
 p0 = Dict(:a => 0.34, :b => 0.6)
 fsens = (a,b) -> (;target1 = 10a + b -1, target2 = a + b -0.5)
 # note, for real analysis use larger sample size
-df_sobol = estimate_subglobal_sobol_indices(fsens, paramsModeUpperRows, p0; n_sample = 50)</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/bgctw/SubglobalSensitivityAnalysis.jl/blob/acb017b4d0ebe7cae18712b3446f77d61a29e5d1/src/sens_util.jl#L1-L64">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="SubglobalSensitivityAnalysis.fit_distributions" href="#SubglobalSensitivityAnalysis.fit_distributions"><code>SubglobalSensitivityAnalysis.fit_distributions</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">fit_distributions(tups)
-fit_distributions!(df)</code></pre><p>For each row, fit a distribution of type <code>dType</code> to <code>mode</code> and <code>upper</code> quantile.</p><p>In the first variant, parameters are specified as a vector of tuples, which are  converted to a <code>DataFrame</code>. A new column <code>:dist</code> with a concrete Distribution is added. The second variant modifies a <code>DataFrame</code> with corresponding input columns.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/bgctw/SubglobalSensitivityAnalysis.jl/blob/acb017b4d0ebe7cae18712b3446f77d61a29e5d1/src/sens_util.jl#L108-L118">source</a></section></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../reload_design/">« Reload the design matrix</a><a class="docs-footer-nextpage" href="../install_R_dependencies/">R dependencies »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.2.1 on <span class="colophon-date" title="Friday 1 March 2024 10:36">Friday 1 March 2024</span>. Using Julia version 1.10.1.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>
+df_sobol = estimate_subglobal_sobol_indices(fsens, paramsModeUpperRows, p0; n_sample = 50)</code></pre></div><a class="docs-sourcelink" target="_blank" href="https://github.com/bgctw/SubglobalSensitivityAnalysis.jl/blob/b90a0bb45b3baa214f7b107d27bb89675640102a/src/sens_util.jl#L1-L64">source</a></section></article><article class="docstring"><header><a class="docstring-article-toggle-button fa-solid fa-chevron-down" href="javascript:;" title="Collapse docstring"></a><a class="docstring-binding" id="SubglobalSensitivityAnalysis.fit_distributions" href="#SubglobalSensitivityAnalysis.fit_distributions"><code>SubglobalSensitivityAnalysis.fit_distributions</code></a> — <span class="docstring-category">Function</span></header><section><div><pre><code class="language-julia hljs">fit_distributions(tups)
+fit_distributions!(df)</code></pre><p>For each row, fit a distribution of type <code>dType</code> to <code>mode</code> and <code>upper</code> quantile.</p><p>In the first variant, parameters are specified as a vector of tuples, which are  converted to a <code>DataFrame</code>. A new column <code>:dist</code> with a concrete Distribution is added. The second variant modifies a <code>DataFrame</code> with corresponding input columns.</p></div><a class="docs-sourcelink" target="_blank" href="https://github.com/bgctw/SubglobalSensitivityAnalysis.jl/blob/b90a0bb45b3baa214f7b107d27bb89675640102a/src/sens_util.jl#L108-L118">source</a></section></article></article><nav class="docs-footer"><a class="docs-footer-prevpage" href="../reload_design/">« Reload the design matrix</a><a class="docs-footer-nextpage" href="../install_R_dependencies/">R dependencies »</a><div class="flexbox-break"></div><p class="footer-message">Powered by <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> and the <a href="https://julialang.org/">Julia Programming Language</a>.</p></nav></div><div class="modal" id="documenter-settings"><div class="modal-background"></div><div class="modal-card"><header class="modal-card-head"><p class="modal-card-title">Settings</p><button class="delete"></button></header><section class="modal-card-body"><p><label class="label">Theme</label><div class="select"><select id="documenter-themepicker"><option value="documenter-light">documenter-light</option><option value="documenter-dark">documenter-dark</option><option value="auto">Automatic (OS)</option></select></div></p><hr/><p>This document was generated with <a href="https://github.com/JuliaDocs/Documenter.jl">Documenter.jl</a> version 1.2.1 on <span class="colophon-date" title="Friday 1 August 2025 07:08">Friday 1 August 2025</span>. Using Julia version 1.11.6.</p></section><footer class="modal-card-foot"></footer></div></div></div></body></html>