Package: nlmeVPC 2.8

Eun-Kyung Lee

nlmeVPC: Visual Model Checking for Nonlinear Mixed Effect Model

Various visual and numerical diagnosis methods for the nonlinear mixed effect model, including visual predictive checks, numerical predictive checks, and coverage plots (Karlsson and Holford, 2008, <https://www.page-meeting.org/?abstract=1434>).

Authors:Eun-Kyung Lee [aut, cre], Eun-Hwa Kang [aut]

nlmeVPC_2.8.tar.gz
nlmeVPC_2.8.zip(r-4.7-x86_64)nlmeVPC_2.8.zip(r-4.7-arm64)nlmeVPC_2.8.zip(r-4.6-x86_64)nlmeVPC_2.8.zip(r-4.6-arm64)
nlmeVPC_2.8.tar.gz(r-4.7-arm64)nlmeVPC_2.8.tar.gz(r-4.7-x86_64)nlmeVPC_2.8.tar.gz(r-4.6-arm64)nlmeVPC_2.8.tar.gz(r-4.6-x86_64)
nlmeVPC_2.8.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
nlmeVPC/json (API)

# Install 'nlmeVPC' in R:
install.packages('nlmeVPC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library
Datasets:
  • origdata - Pharmacokinetics of Theophylline with a different schedule of time.
  • simdata - Simulation data

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

cppopenmp

1.04 score 11 scripts 353 downloads 14 exports 69 dependencies

Last updated from:0901bdf1ff. Checks:10 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK264
linux-devel-x86_64OK342
source / vignettesOK228
linux-release-arm64OK383
linux-release-x86_64OK267
windows-devel-arm64OK333
windows-devel-x86_64OK325
windows-release-arm64OK394
windows-release-x86_64OK474
wasm-releaseOK104

Exports:aqrVPCasVPCbootVPCcoverageDetailplotcoverageplotFindBestCutfindQuantilefindSIMQfindSIMQuantilemakeCOVbinNumericalCheckoptKquantVPCVPCgraph

Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacecpp11data.tabledigestevaluatefarverfastmapfontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixMatrixModelsmemoisemimenloptrnnetnumDerivoptimxpracmaquantregR6rappdirsRColorBrewerRcppRcppArmadillorlangrmarkdownrpartrstudioapiS7sassscalesSparseMstringistringrsurvivaltimeDatetinytexvctrsviridisLitewithrxfunyaml