-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathDESCRIPTION
50 lines (50 loc) · 1.53 KB
/
DESCRIPTION
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
Package: KDE
Title: Kernel Density Estimation
Version: 0.0.0.9000
Authors@R:
c(person(family = "R Course",
role = c("cre"),
email = "hericks@stud.uni-heidelberg.de"),
person(given = "Jan",
family = "Boerschel",
role = c("aut"),
email = "boerschel@stud.uni-heidelberg.de"),
person(given = "Mansur",
family = "Daschaew",
role = c("aut"),
email = "mh224@stud.uni-heidelberg.de"),
person(given = "Céline",
family = "Fietz",
role = c("aut"),
email = "C.Fietz@stud.uni-heidelberg.de"),
person(given = "Matthias",
family = "Hericks",
role = c("aut"),
email = "hericks@stud.uni-heidelberg.de"))
Description: The `KDE` package provides the user with basic functionality for the construction of kernel density estimators, as well as bandwidth selection algorithms.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.1
Collate:
'integrate_primitive.R'
'integrable_function.R'
'kernel.R'
'builtin_kernels.R'
'logarithmic_bandwidth_set.R'
'kernel_density_estimator.R'
'cross_validation.R'
'density.R'
'goldenshluger_lepski.R'
'kernel_transform.R'
'pco_method.R'
'rejection_sampling.R'
'shiny_app.R'
Depends:
R (>= 3.5)
Suggests:
knitr,
rmarkdown
VignetteBuilder: knitr
Imports: shiny, stats, graphics, testthat, microbenchmark, rlang, tidyverse