From 8086214a5129898d616e01f980e8941d24103f81 Mon Sep 17 00:00:00 2001
From: prdm0 Understanding the Method\(X\) and go back to step
1.
Proof: Consider the discrete case, that is, \(X\) and \(Y\) are random variables with pfs \(f\) and \(g\), respectively. By step 3 of the -algorithm above, we have \(\{accept\} = \{x = +algorithm above, we have \(\{accept\} = \{x = y\} = u < \frac{f(y)}{cg(y)}\). That is,
\[P(accept | Y = y) = \frac{P(accept \cap
\{Y = y\})}{g(y)} = \frac{P(U \leq f(y)/cg(y)) \times g(y)}{g(y)} =
@@ -569,7 +569,7 @@ Accessing metadata#> <partialised>
#> function (...)
#> f(mean = 0, sd = 1, ...)
-#> <environment: 0x57d6007fc988>
+#> <environment: 0x62b16df07600>
#>
#> $args_f
#> $args_f$mean
diff --git a/docs/articles/inspect.html b/docs/articles/inspect.html
index bbe696f..47394e0 100644
--- a/docs/articles/inspect.html
+++ b/docs/articles/inspect.html
@@ -202,7 +202,7 @@
The performance of the one_step()
function, an internal function used in the implementation of C++ using Rcpp, has been improved;
The method qqplot.accept_reject()
has been added, which constructs the QQ-Plot of an object of class accept_reject
returned by the function accept_reject()
;
The qqplot.accept_reject()
function can be parallelized using the parallel = TRUE
argument, allowing theoretical quantiles to be calculated in parallel. The cores argument controls the number of cores that will be used. The default value, cores = NULL
, means that all processor cores will be used. If parallel = FALSE
, the cores argument is ignored.
The qqplot.accept_reject()
function utilizes the scattermore package if the point density is high, i.e., above 10 thousand observations;
The function accept_reject()
now has the argument cores, which allows the user to control the number of cores that will be used if parallel = TRUE
. The default, cores = NULL
, means that all processor cores will be used. If parallel = FALSE
, the cores argument is ignored;
The DESCRIPTION file was edited;
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