Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Fix CRAN Comments #84

Merged
merged 5 commits into from
Jul 31, 2024
Merged

Fix CRAN Comments #84

Changes from 1 commit
Commits
Show all changes
5 commits
Select commit Hold shift + click to select a range
7256e22
Fix CRAN Comments
rammprasad Jul 31, 2024
2b90b76
Update DESCRIPTION
rammprasad Jul 31, 2024
5dace28
Fix pipeline failure
rammprasad Jul 31, 2024
7e2940d
Merge branch '83-v010-cran-comments' of https://github.com/pharmavers…
rammprasad Jul 31, 2024
6bb31c1
fix pipeline failure
rammprasad Jul 31, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
19 changes: 10 additions & 9 deletions DESCRIPTION
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -24,17 +24,18 @@ Authors@R: c(
person("Transition Technologies Science", role = c("cph", "fnd"))
)
Maintainer: Rammprasad Ganapathy <[email protected]>
Description: An EDC and Data Standard-agnostic SDTM data transformation engine
designed for SDTM programming in R. Powered by metadata sdtm.oak can
automate the conversion of raw clinical data to SDTM through standardized
mapping algorithms. SDTM is one of the required standards for data
submission to FDA (U.S.) and PMDA (Japan). SDTM standards are implemented
in accordance with the SDTM Implementation Guide as defined by CDISC
<https://www.cdisc.org/standards/foundational/sdtmig>.
Description: An EDC-agnostic and data standard-agnostic SDTM data transformation engine
that provides a framework for modular programming of SDTM in R. Powered by
metadata and standard specification sdtm.oak can potentially automate the
conversion of raw clinical data to SDTM through standardized mapping
algorithms. SDTM is one of the required standards for data submission to
the FDA (U.S.) and PMDA (Japan). SDTM standards are implemented following
the SDTM Implementation Guide as defined by
CDISC <https://www.cdisc.org/standards/foundational/sdtmig>.
Language: en-US
License: Apache License (>= 2)
BugReports: https://github.com/pharmaverse/sdtm.oak/issues
URL: https://pharmaverse.github.io/sdtm.oak/, https://github.com/pharmaverse/sdtm.oak
BugReports: https://github.com/pharmaverse/sdtm.oak/issues/
URL: https://pharmaverse.github.io/sdtm.oak/, https://pharmaverse.github.io/sdtm.oak/
rammprasad marked this conversation as resolved.
Show resolved Hide resolved
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE)
Expand Down
Loading