From 66da88519d1783af1ab47fe58e7a8c6b0c17acce Mon Sep 17 00:00:00 2001
From: Daniel <mail@danielluedecke.de>
Date: Tue, 24 Oct 2023 19:46:54 +0200
Subject: [PATCH] work

---
 R/binned_residuals.R    | 24 ++++++++++++++++++++----
 man/binned_residuals.Rd | 11 ++++++++++-
 2 files changed, 30 insertions(+), 5 deletions(-)

diff --git a/R/binned_residuals.R b/R/binned_residuals.R
index 2614b67a6..3210a228c 100644
--- a/R/binned_residuals.R
+++ b/R/binned_residuals.R
@@ -66,11 +66,12 @@ binned_residuals <- function(model,
                              term = NULL,
                              n_bins = NULL,
                              show_dots = NULL,
-                             residuals = c("gaussian", "exact", "boot"),
                              ci = 0.95,
+                             ci_type = c("gaussian", "exact", "boot"),
+                             iterations = 1000,
                              ...) {
 
-  residuals <- match.arg(residuals)
+  ci_type <- match.arg(ci_type)
   fv <- stats::fitted(model)
   mf <- insight::get_data(model, verbose = FALSE)
 
@@ -104,10 +105,10 @@ binned_residuals <- function(model,
     n <- length(items)
     sdev <- stats::sd(y[items], na.rm = TRUE)
 
-    r <- switch(residuals,
+    r <- switch(ci_type,
       gaussian = stats::qnorm(c((1 - ci) / 2, (1 + ci) / 2), mean = ybar, sd = sdev / sqrt(n)),
       exact = stats:::binom.test(sum(y0[items]), n)$conf.int - fv,
-      boot = Hmisc::smean.cl.boot(y[items], conf.int = ci)[c("Lower", "Upper")]
+      boot = .boot_binned_ci(y[items], ci, iterations)
     )
     names(r) <- c("CI_low", "CI_high")
 
@@ -142,6 +143,21 @@ binned_residuals <- function(model,
 }
 
 
+# utilities ---------------------------
+
+.boot_binned_ci <- function(x, ci = 0.95, iterations = 1000) {
+  x <- x[!is.na(x)]
+  n <- length(x)
+  out <- vector("numeric", iterations)
+  for (i in seq_len(iterations)) {
+    out[i] <- sum(x[sample.int(n, n, replace = TRUE)])
+  }
+  out <- out / n
+
+  quant <- stats::quantile(out, c((1 - ci) / 2, (1 + ci) / 2))
+  c(CI_low = quant[1L], CI_high = quant[2L])
+}
+
 
 # methods -----------------------------
 
diff --git a/man/binned_residuals.Rd b/man/binned_residuals.Rd
index b8aee666e..f0362c091 100644
--- a/man/binned_residuals.Rd
+++ b/man/binned_residuals.Rd
@@ -4,7 +4,16 @@
 \alias{binned_residuals}
 \title{Binned residuals for binomial logistic regression}
 \usage{
-binned_residuals(model, term = NULL, n_bins = NULL, show_dots = NULL, ...)
+binned_residuals(
+  model,
+  term = NULL,
+  n_bins = NULL,
+  show_dots = NULL,
+  ci = 0.95,
+  ci_type = c("gaussian", "exact", "boot"),
+  iterations = 1000,
+  ...
+)
 }
 \arguments{
 \item{model}{A \code{glm}-object with \emph{binomial}-family.}