pharmaversesdtm (development version)
New Features
Units for EG data were updated to be consistent with SDTM guidelines. (#129)
-
Added following Metabolic specific SDTM datasets: (#136, #139)
dm_metabolic
qs_metabolic
vs_metabolic
lb_metabolic
Updated OE dataset to include both pre and post-dose IOP. (#134)
Updated
ex_vaccine
dataset to remove the non-standard CDISC SDTM variables. (#170)
Documentation
Removed outdated references to renv in the package README. (#113)
Added test short names and test names (
xxTESTCD
/xxTEST
) description in the “Details” section, when available. (#145)
Developer Notes
- Ungrouped
lb_metabolic
prior to export (#152) - Added
metatools
as a dependency needed for development tasks (#153) - Removed namespaces from function calls in
lb_metabolic.R
- Removed unnecessary “Documentation Process” section from
README.md
(#156) - Harmonized code to load the SDTMs using
pharmaversesdtm::xx
(#157) - Harmonized code using
magrittr
pipe (#158) - Added back pharmaversesdtm Hex and corresponding alternative text (#159)
- Ensured all datasets have populated variables labels (#162)
- Changed units of insulin and triglycerides in
lb_metabolic
(#167) - Fixed typo in
tu_onco_recist
dataset (#171) - Ensured R files generated by
create_sdtms_data.R
are compliant with styler (#179)
pharmaversesdtm 0.2.0
CRAN release: 2023-12-01
New Features
-
Following Vaccine Specific SDTM datasets have been added. (#4)
ce_vaccine
dm_vaccine
ex_vaccine
face_vaccine
is_vaccine
vs_vaccine
suppce_vaccine
suppdm_vaccine
suppex_vaccine
suppface_vaccine
Oncology response data for iRECIST criteria (
rs_onco_irecist
) was added. (#32)get_terms()
now expectsTERMCHAR
instead ofTERMNAME
in alignment with this admiral issue. (#76)
pharmaversesdtm 0.1.0
New Features
- Ophthalmology variants of
ex
andqs
SDTM datasets added. (#15) - Migrate data and function
get_terms()
fromadmiral.test
. (#1, #49) - Oncology datasets
tu_onco_recist
,tr_onco_recist
, andrs_onco_recist
using RECIST 1.1 response criteria. The datasets contain just a few patients. They are intended for vignettes and examples of ADaM datasets creation. (#33)