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<!DOCTYPE html>
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<title> Children</title>
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<div id="run-poisson-model-on-cluster" class="section level1">
<h1>Run Poisson model on cluster</h1>
<p>including only those who ever married, controlling number of spouses interacted with sex</p>
<div class="sourceCode"><pre class="sourceCode r"><code class="sourceCode r"><span class="kw">library</span>(dplyr); <span class="kw">library</span>(brms)
<span class="kw">setwd</span>(<span class="st">"/usr/users/rarslan/updated_data/"</span>)
args =<span class="st"> </span><span class="kw">commandArgs</span>()
dataset =<span class="st"> </span>args[<span class="dv">6</span>]
uptobyear =<span class="st"> </span>args[<span class="dv">7</span>]
if (dataset ==<span class="st"> "swed"</span>) {
<span class="kw">load</span>(<span class="st">"swed1.rdata"</span>)
} else {
<span class="kw">load</span>(<span class="kw">paste0</span>(dataset, <span class="st">".rdata"</span>))
}
model_data =<span class="st"> </span><span class="kw">get</span>(<span class="kw">paste0</span>(dataset, <span class="st">".1"</span>)) %>%<span class="st"> </span><span class="kw">tbl_df</span>() %>%
<span class="st"> </span><span class="kw">filter</span>(ever_married ==<span class="st"> </span><span class="dv">1</span>) %>%<span class="st"> </span>
<span class="st"> </span><span class="kw">filter</span>(byear <<span class="st"> </span>uptobyear) %>%<span class="st"> </span>
<span class="st"> </span><span class="kw">select</span>(children, ever_married, birth_cohort, male, maternalage.factor, paternalage.mean, paternalage, paternal_loss, maternal_loss, older_siblings, nr.siblings, last_born, idParents, spouses) %>%<span class="st"> </span>
<span class="st"> </span><span class="kw">na.omit</span>()
model =<span class="st"> </span><span class="kw">brm</span>( children ~<span class="st"> </span>paternalage +<span class="st"> </span>birth_cohort +<span class="st"> </span>spouses *<span class="st"> </span>male +<span class="st"> </span>maternalage.factor +<span class="st"> </span>paternalage.mean +<span class="st"> </span>paternal_loss +<span class="st"> </span>maternal_loss +<span class="st"> </span>older_siblings +<span class="st"> </span>nr.siblings +<span class="st"> </span>last_born +<span class="st"> </span>(<span class="dv">1</span> |<span class="st"> </span>idParents),
<span class="dt">prior =</span> <span class="kw">c</span>(<span class="kw">set_prior</span>(<span class="st">"normal(0,5)"</span>, <span class="dt">class =</span> <span class="st">"b"</span>),
<span class="kw">set_prior</span>(<span class="st">"student_t(3, 0, 5)"</span>, <span class="dt">class =</span> <span class="st">"sd"</span>)),
<span class="dt">family =</span> <span class="kw">poisson</span>(), <span class="dt">data =</span> model_data,
<span class="dt">chains =</span> <span class="dv">6</span>, <span class="dt">iter =</span> <span class="dv">1500</span>, <span class="dt">warmup =</span> <span class="dv">500</span>, <span class="dt">cores =</span> <span class="dv">6</span>, <span class="dt">ranef =</span> <span class="ot">FALSE</span>)
<span class="kw">summary</span>(model)
<span class="kw">saveRDS</span>(model,<span class="dt">file =</span> <span class="kw">paste0</span>(<span class="st">"coefs/"</span>, dataset, <span class="st">"/e4_children.rds"</span>))</code></pre></div>
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