-
Notifications
You must be signed in to change notification settings - Fork 0
/
DESCRIPTION
34 lines (34 loc) · 1.21 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
Package: remiod
Type: Package
Title: Reference-Based Multiple Imputation for Ordinal/Binary Response
Version: 1.0.2
Authors@R: c(person("Ying", "Liu", role = c("aut")),
person("Tony", "Wang", email="xwang@imedacs.com", role = c("aut", "cre"),
comment = c(ORCID="0000-0002-6760-5456")))
Description: Reference-based multiple imputation of ordinal and binary responses under Bayesian
framework, as described in Wang and Liu (2022) <arXiv:2203.02771>. Methods for
missing-not-at-random include Jump-to-Reference (J2R), Copy Reference (CR), and Delta
Adjustment which can generate tipping point analysis.
License: GPL (>= 2)
URL: https://github.com/xsswang/remiod
RoxygenNote: 7.2.2
Roxygen: list(old_usage = TRUE, markdown = TRUE)
LazyData: true
Imports: JointAI, rjags, coda, foreach, data.table, future, doFuture, mathjaxr, survival, ggplot2, ordinal, progressr, Matrix, mcmcse
SystemRequirements: JAGS (http://mcmc-jags.sourceforge.net/)
Suggests:
knitr,
rmarkdown,
bookdown,
R.rsp,
ggpubr,
testthat (>= 3.0.0),
spelling
VignetteBuilder:
knitr,
R.rsp
Encoding: UTF-8
Config/testthat/edition: 3
Language: en-US
Depends:
R (>= 2.10)