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@ -37,6 +37,7 @@
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<ul><li><p>UI tweaks.</p></li>
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<li><p>NEW: Option to set class as <code>hms</code> using the <a href="https://hms.tidyverse.org/" class="external-link">hms</a> package.</p></li>
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<li><p>NEW: summary grid with sparklines.</p></li>
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<li><p>Speed improvements and better regression analysis handling. Preparations for extending analysis options and study designs.</p></li>
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</ul></div>
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<div class="section level2">
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<h2 class="pkg-version" data-toc-text="24.12.1" id="freesearcher-24121">freesearcheR 24.12.1<a class="anchor" aria-label="anchor" href="#freesearcher-24121"></a></h2>
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@ -2,7 +2,7 @@ pandoc: 3.1.11
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pkgdown: 2.1.1
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pkgdown_sha: ~
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articles: {}
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last_built: 2025-01-16T13:41Z
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last_built: 2025-01-17T15:15Z
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urls:
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reference: https://agdamsbo.github.io/freesearcheR/reference
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article: https://agdamsbo.github.io/freesearcheR/articles
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@ -130,7 +130,7 @@
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<span class="r-out co"><span class="r-pr">#></span> z$qr <- NULL</span>
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<span class="r-out co"><span class="r-pr">#></span> z</span>
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<span class="r-out co"><span class="r-pr">#></span> }</span>
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<span class="r-out co"><span class="r-pr">#></span> <bytecode: 0x55cf79ff50a0></span>
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<span class="r-out co"><span class="r-pr">#></span> <bytecode: 0x559f3d705730></span>
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<span class="r-out co"><span class="r-pr">#></span> <environment: namespace:stats></span>
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</code></pre></div>
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</div>
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@ -169,7 +169,8 @@
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<span class="r-out co"><span class="r-pr">#></span> if (!qr) </span>
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<span class="r-out co"><span class="r-pr">#></span> z$qr <- NULL</span>
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<span class="r-out co"><span class="r-pr">#></span> z</span>
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<span class="r-out co"><span class="r-pr">#></span> })(formula = age ~ ., data = structure(list(trt = structure(c(1L, </span>
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<span class="r-out co"><span class="r-pr">#></span> })(formula = age ~ trt + marker + stage + grade + response + </span>
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<span class="r-out co"><span class="r-pr">#></span> death + ttdeath, data = structure(list(trt = structure(c(1L, </span>
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<span class="r-out co"><span class="r-pr">#></span> 2L, 1L, 1L, 1L, 2L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, </span>
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<span class="r-out co"><span class="r-pr">#></span> 2L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 1L, 2L, 2L, 1L, 2L, 1L, 2L, </span>
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<span class="r-out co"><span class="r-pr">#></span> 1L, 1L, 1L, 2L, 1L, 2L, 2L, 2L, 2L, 1L, 2L, 1L, 2L, 1L, 2L, 2L, </span>
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@ -607,7 +608,8 @@
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<span class="r-out co"><span class="r-pr">#></span> data = data, offset = offset, control = control, method = method, </span>
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<span class="r-out co"><span class="r-pr">#></span> contrasts = attr(X, "contrasts"), xlevels = .getXlevels(mt, </span>
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<span class="r-out co"><span class="r-pr">#></span> mf))), class = c(fit$class, c("glm", "lm")))</span>
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<span class="r-out co"><span class="r-pr">#></span> })(formula = trt ~ ., family = structure(list(family = "binomial", </span>
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<span class="r-out co"><span class="r-pr">#></span> })(formula = trt ~ age + marker + stage + grade + response + </span>
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<span class="r-out co"><span class="r-pr">#></span> death + ttdeath, family = structure(list(family = "binomial", </span>
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<span class="r-out co"><span class="r-pr">#></span> link = "logit", linkfun = function (mu) </span>
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<span class="r-out co"><span class="r-pr">#></span> .Call(C_logit_link, mu), linkinv = function (eta) </span>
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<span class="r-out co"><span class="r-pr">#></span> .Call(C_logit_linkinv, eta), variance = function (mu) </span>
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