tidyvpc 1.6.0

• New qpcstats() function computes a Quantitative Predictive Check (QPC) score for continuous VPCs, including a composite qpc_score (lower is better) plus component penalties for coverage, MAE, drift, sharpness, and the Winkler interval score. Works with binless() and binning(), with stratification, prediction correction, and censoring. New vignette tidyvpc_qpc documents usage #66.
• Added support for non-replicate simulated data. simulated() gains xsim and repl arguments, stratify() gains a data.sim argument, and binning()/binless() propagate observed-data bins and strata to the simulated data when sim is not a replicate of obs #63.
• plot.tidyvpcobj() gains censoring.color and censoring.fill arguments to customize the colors used in BLQ/ALQ percentage plots #69.
• R CMD check housekeeping: added Linux reference data for binless categorical tests and resolved remaining global-variable NOTEs #71.
• The tidyvpc_RsNLME vignette is now shipped as a precompiled PDF (it was previously only available as source).

tidyvpc 1.5.2

• Changes to the computational workflow for npde #59
• Added varcorr argument to predcorrect method #60
• CRAN fix #62

tidyvpc 1.5.1

• Patch release that ensures unit tests do not fail when env var _R_CHECK_DEPENDS_ONLY_=true in R CMD check. As a result, the cluster dependency has been moved from Suggests to Imports.

tidyvpc 1.5.0

• Support for generating percentage blq/alq plots using plot.tidyvpcobj. For VPC with censoring(), users can supply arguments censoring.type (options are 'none', 'blq', 'alq', or 'both', defaults to ‘none’) and censoring.output (options are 'grid' or 'list', defaults to 'grid').#21
• Plotting updates were made for ggplot2 version 3.4.0 to use linewidth instead of size for lines#39.
• simulated.tidyvpcobj() detects if the number of simulated rows is not an integer multiple of the number of observed rows and adds the new xsim argument to test that x values match between replicated simulations. It will suggest that MDV filtering may not have occurred if either of these fails #35.
• Prevent division by zero in predcorrect() transformation #31.
• Usability enhancements for prediction corrected VPC (pcVPC), which include support for binning.tidyvpcobj() either before or after usage of predcorrect.tidyvpcobj(), and automatically performing LOESS pcVPC when binless.tidyvpcobj() is used. As a result, the loess.ypc argument is no longer required#43.
• The binless.tidyvpcobj function is now compatible with usage of censoring.tidyvpcobj with ALQ data, in addition to BLQ data.#49
• VPC can work with a single value in a group #51
• A vignette for use with nlmixr2 was added #27

tidyvpc 1.4.0

• Fix for npde calculation fix npde calc #16
• Added R CMD check and test coverage workflows #18
• Support headtails, maximum, and box binning methods #23
• Usage of predcorrect() may now occur either before or after call to binless(loess.ypc=TRUE)
• Additional unit tests

tidyvpc 1.3.0

• Additional arguments in plot() function now include:
  • point.size
  • point.stroke
  • point.shape
  • point.alpha
  • ribbon.alpha
• Fixed plotting issue to restore facet_wrap() usage for one-side stratification formula

tidyvpc 1.2.0

• Add support for categorical VPC using binless and binning methods
• Update plot() function to include plotting methods for categorical VPC

tidyvpc 1.1.0

• Add NPDE functionality
• Add unit tests
• Bug fix for plotting of censored observations
• Maintain forward compatibility with quantreg

tidyvpc 1.0.0

• Initial CRAN release
• Add binless() vpc functionality to existing code in vpcstats