-
Notifications
You must be signed in to change notification settings - Fork 15
/
Copy pathDESCRIPTION
62 lines (62 loc) · 1.6 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
51
52
53
54
55
56
57
58
59
60
61
62
Package: probably
Title: Tools for Post-Processing Predicted Values
Version: 1.0.3.9001
Authors@R: c(
person("Max", "Kuhn", , "[email protected]", role = c("aut", "cre")),
person("Davis", "Vaughan", , "[email protected]", role = "aut"),
person("Edgar", "Ruiz", , "[email protected]", role = "aut"),
person("Posit Software, PBC", role = c("cph", "fnd"))
)
Description: Models can be improved by post-processing class
probabilities, by: recalibration, conversion to hard probabilities,
assessment of equivocal zones, and other activities. 'probably'
contains tools for conducting these operations as well as calibration
tools and conformal inference techniques for regression models.
License: MIT + file LICENSE
URL: https://github.com/tidymodels/probably,
https://probably.tidymodels.org
BugReports: https://github.com/tidymodels/probably/issues
Depends:
R (>= 3.6)
Imports:
butcher,
cli,
dplyr (>= 1.1.0),
furrr,
generics (>= 0.1.3),
ggplot2,
hardhat,
pillar,
purrr,
rlang (>= 1.1.0),
tidyr (>= 1.3.0),
tidyselect (>= 1.1.2),
tune (>= 1.1.2),
vctrs (>= 0.4.1),
withr,
workflows (>= 1.1.4),
yardstick (>= 1.3.0)
Suggests:
betacal,
covr,
knitr,
MASS,
mgcv,
modeldata (>= 1.1.0),
nnet,
parsnip (>= 1.2.0),
quantregForest,
randomForest,
recipes,
rmarkdown,
rsample,
testthat (>= 3.0.0)
VignetteBuilder:
knitr
ByteCompile: true
Config/Needs/website: tidyverse/tidytemplate
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2