Releases: billdenney/pknca
Releases · billdenney/pknca
v0.11.0
- Improved counting of N and n for subjects for summaries
lin-log
integration method is now available- PKNCA has begun the process of deprecating dots in favor of underscores in function and parameter names.
And, may other improvements and bug fixes (see the NEWS.md file for full details).
v0.10.2
The main purpose of this release is to work with new versions of testthat and waldo.
What's Changed
- Allow duplicated PPSTRESU by @billdenney in #191
- Generalize message checks to be independent of dplyr version by @billdenney in #199
- Update continuous integration and testing infrastructure code by @billdenney in #200
- Add aucabove by @billdenney in #196
- Simplify column handling by @billdenney in #201
- Add more detail to error messages by @billdenney in #204
- Clean up imports; bump version; update docs by @billdenney in #206
- Fix for development version of waldo by @billdenney in #209
- Work with development version of testthat by @billdenney in #214
- Fix for dev testthat by @hadley in #213
- Fix #207 by @billdenney in #215
- AUC warning given as exclusion reason by @billdenney in #216
- Give reason for NA result with ae calculations by @billdenney in #217
- "PKNCA_impute_method_start_predose" and "start_predose" are equivalent by @billdenney in #219
- Prepare for CRAN submission by @billdenney in #220
New Contributors
Full Changelog: v0.10.0...v0.10.2
CRAN release version 0.10.0
PKNCA 0.10.0
Bugs Fixed
- When calculating AUC with only a single concentration measurement, NA is now
returned instead of 0. (fix #176)
New Features
- Initial support for unit assignment and conversion has been added. See the
units
argument to thePKNCAdata()
function and the function
pknca_units_table()
. - Initial support for imputation has been added. See the
impute
argument to
thePKNCAdata()
function and the Data Imputation vignette. - With the addition of units, several outputs now will differ, if units are
used:summary()
on a PKNCAresults object shows the units in the column
heading.- When running
as.data.frame()
on a PKNCAresults object with the argument
out.format="wide"
, if standardized units values are available, they will
be used. And if any unit are available, they will be in the column names.
- Summary tables with units use the "pretty_name" for a parameter which is
intended for clearer representation in reports. "pretty_name" use can be
controlled with the "pretty_names" argument tosummary()
.- Note that the pretty names themselves may be modified to help clarify and/or
shorten the names to make the table heading more useful. If you intend to
modify column headers programmatically, setpretty_names=FALSE
when
calling thesummary()
function.
- Note that the pretty names themselves may be modified to help clarify and/or
- New, IV AUC calculation methods have been added.
pk.calc.time_above()
now uses the default AUC calculation method for
interpolation of time above. And, it can use 'lin up/log down' interpolation.- PKNCA can now calculate parameters that require extra information by adding
the extra information to the intervals data.frame. For example, add
conc_above
as a column to the intervals to allow calculation of
time_above
. With this change, the "conc_above"PKNCA.options()
value has
been removed. - Added dplyr joins, filter, mutate, group_by, and ungroup to allow modification
of PKNCA objects after creation. (Note that these functions will make the
provenance no longer match for PKNCAresults objects.)
Breaking Changes
- Some functions that were intended to be internal were removed:
- All
getData()
functions were removed. - The
getDataName()
function for PKNCAdata objects was removed.
- All
interpolate.conc()
andinterp.extrap.conc()
now give more errors with
missing (NA) input. This should not affect typical NCA (where NA values are
dropped), but it may affect direct calls to the functions themselves.
Internal Breaking Changes (these should not affect PKNCA users)
- print.parseFormula() was removed from the package.
0.9.5
On CRAN
0.9.4
Ignore extraneous CRAN files
Version 0.9.1
Version 0.9.1 as submitted to CRAN
Release 0.8.4 on CRAN
Version 0.8.4 as submitted to CRAN
Version 0.8.1 as released on CRAN
Version 0.8.1 as accepted on CRAN