Package: vpc 1.2.3
vpc: Create Visual Predictive Checks
Visual predictive checks are a commonly used diagnostic plot in pharmacometrics, showing how certain statistics (percentiles) for observed data compare to those same statistics for data simulated from a model. The package can generate VPCs for continuous, categorical, censored, and (repeated) time-to-event data.
Authors:
vpc_1.2.3.tar.gz
vpc_1.2.3.zip(r-4.5)vpc_1.2.3.zip(r-4.4)vpc_1.2.3.zip(r-4.3)
vpc_1.2.3.tgz(r-4.4-any)vpc_1.2.3.tgz(r-4.3-any)
vpc_1.2.3.tar.gz(r-4.5-noble)vpc_1.2.3.tar.gz(r-4.4-noble)
vpc_1.2.3.tgz(r-4.4-emscripten)vpc_1.2.3.tgz(r-4.3-emscripten)
vpc.pdf |vpc.html✨
vpc/json (API)
NEWS
# Install 'vpc' in R: |
install.packages('vpc', repos = c('https://ronkeizer.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ronkeizer/vpc/issues
- rtte_obs_nm - Simulated RTTE data
- rtte_sim_nm - Simulated RTTE data
- simple_data - A small rich dataset
Last updated 4 months agofrom:ec210170e7. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 11 2024 |
R-4.5-win | OK | Oct 11 2024 |
R-4.5-linux | OK | Oct 11 2024 |
R-4.4-win | OK | Oct 11 2024 |
R-4.4-mac | OK | Oct 11 2024 |
R-4.3-win | OK | Oct 11 2024 |
R-4.3-mac | OK | Oct 11 2024 |
Exports:add_noiseas_vpcdbauto_binbin_datacreate_vpc_themeggplot.vpcdb_categoricalggplot.vpcdb_censoredggplot.vpcdb_continuousggplot.vpcdb_time_to_eventnew_vpc_themeplot_vpcplot_vpc_helperquantile_censread_table_nmreplace_list_elementsshow_defaulttheme_emptytheme_plainvpcvpc_catvpc_censvpc_ttevpc_vpc
Dependencies:bitbit64classclassIntclicliprcolorspacecpp11crayondplyre1071fansifarvergenericsggplot2gluegtablehmsisobandKernSmoothlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigprettyunitsprogressproxypurrrR6RColorBrewerreadrrlangscalesstringistringrsurvivaltibbletidyrtidyselecttzdbutf8vctrsviridisLitevroomwithr