- Additional changes required for compatibility dplyr version 1.0 and CRAN checks. No functionality changed.
- Minor typographical and documentation consistency cleanups throughout.
- Changes required for compatibility dplyr version 1.0. No functionality changed.
- New feature: the
time_calc() function will help convert time values to be relative to events (such as calculating time after and before doses)
- Fix issue summarizing results when “start” and “end” are dropped and there are multiple interval rows matched for a single group.
- Enable exclusions to be prevented when the input arguments suggest exclusion, but the parameter calculating function may be aware of better information about exclusion.
- Ensure that exclusions are maintained if an earlier parameter is excluded during the initial parameter calculations (Fix #112).
- Two-point half-life calculation works and adjusted r-squared gives a warning instead of an error with 2 points (Fix #114).
- Half-life calculation time was decreased by using
.lm.fit() instead of lm() decreasing time for a full NCA run by ~30% (and half-life by ~50%).
- For R version 4.0, much more care was taken not to create factors from strings unless required (see https://developer.r-project.org/Blog/public/2020/02/16/stringsasfactors/index.html)
- Correct vignette building.
- Breaking Change:
plot.PKNCAconc() was moved to the pknca.reporting package (https://github.com/billdenney/pknca.reporting)
- Breaking Change:
summary.PKNCAresults() now provides a caption including the summary method for each parameter. If you change summary functions using PKNCA.set.summary(), you must now use the description option to set the description of the summary.
- Breaking Change: ptr now accurately uses ctrough instead of cmin (fix #106)
- Issue fixed where aucint* calculations now respect BLQ and NA rules like other calculations. (#104)
- When half.life is not calculated due to insufficient number of points (default < 3), an exclusion reason is added. (#102)
- tibbles now work as the interval argument for
PKNCAdata() (fix #72)
- Issue fixed with summarization of data that has exclusions. Exclusions are now correctly handled as missing instead of never calculated.
- parseFormula now internally uses NULL for no-group formula definitions.
- signifString and roundString now have sci_range (deprecating si_range) and sci_sep arguments.
- Documentation is improved, especially around the selection of parameters for intervals.
- Multiple dose data with a single concentration measurement no longer generates an error (fixes #84).
- The “start” and “end” columns may now be dropped from the summary of
PKNCAresults objects.
-
PKNCAdata() is more restrictive on unknown arguments issuing an error when unknown arguments are present.
-
intervals argument to PKNCAdata() may now be a tibble (fixes #72).
- Documentation has been extensively updated (fixes #81).
- CRAN changes: Vignettes now better respect not loading suggested packages. Tests are now more permissive in timing.
- Cleaned AUCint names
- Added dose-count within interval (to warn of multiple doses within an interval)
- Various documentation updates
- signifString and roundString now by default use scientific notation for values >=1e6 and <=1e-6
- Fix bug in option handling within
pk.nca (Fix #68)
- Added AUCint flavors
- Parameter names for NCA parameters will likely be changing in the next version; code will still work, but some calculation methods and therefore results may be subtly different. These changes will be fully documented.)
- A PKNCAdose is no longer required for calculations.
- Data may now be excluded from calculations.
This release is not backward compatible. The switch to observed and predicted-related NCA parameters (like aucinf.obs and aucinf.pred) changed the format of the intervals specification.
- Remove dependency on doBy library
- Dose-aware interpolation and extrapolation was added with the interp.extrap.conc.dose function.
- Added Clast.pred related NCA calculations
- Added N to summary of PKNCAresults
- Added parameter selection between Clast,observed and Clast,predicted across all parameters
- Enabled PKNCAdose to be specified with one-sided formula
- Improved error reporting so that the group and time (interval specification) is reported in addition to the error.
- PKNCAdose now allows route of administration and IV infusion parameters of rate/duration to be specified
- Updated vignettes
- Standardize rounding and significance with missing values in signifString and roundString
- Enable wide data output with as.data.frame(PKNCAresults, out.format=“wide”)
- Correct calculation of Vz
- Various CRAN-related cleanups
- Features added
- Additional PK parameters to support IV dosing added
- Fix #11, Intervals can be specified manually, and will apply across appropriate parts of the grouping variables
- Enable dose and dose.time as parameters to NCA calculations
- More NCA parameters are calculated, especially related to IV dosing
- Fix #8, Reporting times for time-based parameters are now within the current interval rather than since first dose (e.g. Tmax on day 14 should be between 0 and 24 not 2724+c(0, 24))
- Added several vignettes
- Bugs fixed
- Dosing without concentration is probably placebo; warn and continue
- Fix #6, make merge.splitByData work with more than one dosing level
- Export some generic classes that were not previously exported to simplify their use
- Superposition extensions when lambda.z cannot be calculated
- Significance rounding into character strings works when the rounding moves up one order of magnitude.
- Fix #9, summarization of parameters that are not calculated show not calculated instead of missing.
First release targeting CRAN