-
Notifications
You must be signed in to change notification settings - Fork 0
/
DESCRIPTION
43 lines (43 loc) · 1.99 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
Package: edmdata
Title: Data Sets for Psychometric Modeling
Version: 1.3.0
Authors@R: c(
person("James Joseph", "Balamuta",
email = "[email protected]",
role = c("aut", "cre", "cph"),
comment = c(ORCID = "0000-0003-2826-8458")
),
person("Steven Andrew", "Culpepper",
email = "[email protected]",
role = c("aut", "cph"),
comment = c(ORCID = "0000-0003-4226-6176")
),
person("Jeffrey Alan", "Douglas",
email = "[email protected]",
role = c("aut", "cph")
),
person("Auburn", "Jimenez",
email = "[email protected]",
role = c("ctb", "cph")
)
)
Description: Collection of data sets from various assessments that can be used to
evaluate psychometric models. These data sets have been analyzed in the
following papers that introduced new methodology as part of the application section:
Jimenez, A., Balamuta, J. J., & Culpepper, S. A. (2023) <doi:10.1111/bmsp.12307>,
Culpepper, S. A., & Balamuta, J. J. (2021) <doi:10.1080/00273171.2021.1985949>,
Yinghan Chen et al. (2021) <doi:10.1007/s11336-021-09750-9>,
Yinyin Chen et al. (2020) <doi:10.1007/s11336-019-09693-2>,
Culpepper, S. A. (2019a) <doi:10.1007/s11336-019-09683-4>,
Culpepper, S. A. (2019b) <doi:10.1007/s11336-018-9643-8>,
Culpepper, S. A., & Chen, Y. (2019) <doi:10.3102/1076998618791306>,
Culpepper, S. A., & Balamuta, J. J. (2017) <doi:10.1007/s11336-015-9484-7>,
and Culpepper, S. A. (2015) <doi:10.3102/1076998615595403>.
URL: https://tmsalab.github.io/edmdata/, https://github.com/tmsalab/edmdata/
BugReports: https://github.com/tmsalab/edmdata/issues
Depends: R (>= 4.1.0)
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
Roxygen: list(markdown = TRUE)