From 72569f10685f5b866e0df6b5876284f1abb92ba9 Mon Sep 17 00:00:00 2001 From: June Choe Date: Mon, 19 Feb 2024 15:24:31 -0500 Subject: [PATCH] manually redirect srcset imgs --- docs/index.html | 32 ++++++++++++++++---------------- 1 file changed, 16 insertions(+), 16 deletions(-) diff --git a/docs/index.html b/docs/index.html index d84a604..19a39ce 100644 --- a/docs/index.html +++ b/docs/index.html @@ -29,15 +29,15 @@ Skip to contents - +
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jlmerclusterperm +

jlmerclusterperm

@@ -115,7 +115,7 @@

Installation and usage# Both lines must be run at the start of each new session library(jlmerclusterperm) jlmerclusterperm_setup()

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See the Get Started page on the package website for background and tutorials.

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Wholesale CPA with clusterpermu subject = "Chick", time = "Time" ) chickweights_spec

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Cluster-based permutation test with clusterpermute():

 set_rng_state(123L)
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Wholesale CPA with clusterpermu
   threshold = 2.5,
   nsim = 100
 )
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Including random effects:

 chickweights_re_spec <- make_jlmer_spec(
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Wholesale CPA with clusterpermu
   threshold = 2.5,
   nsim = 100
 )$empirical_clusters
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Piecemeal approach to CPA @@ -180,22 +180,22 @@

Piecemeal approach to CPA
 empirical_clusters <- extract_empirical_clusters(empirical_statistics, threshold = 2.5)
 empirical_clusters

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Simulating the null distribution:

 set_rng_state(123L)
 null_statistics <- permute_timewise_statistics(chickweights_spec, nsim = 100)
 null_cluster_dists <- extract_null_cluster_dists(null_statistics, threshold = 2.5)
 null_cluster_dists
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Significance testing the cluster-mass statistic:

 calculate_clusters_pvalues(empirical_clusters, null_cluster_dists, add1 = TRUE)
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Iterating over a range of threshold values:

 walk_threshold_steps(empirical_statistics, null_statistics, steps = c(2, 2.5, 3))
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Dev status

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