Package: nlmeVPC 2.6

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_2.6.tar.gz
nlmeVPC_2.6.zip(r-4.5)nlmeVPC_2.6.zip(r-4.4)nlmeVPC_2.6.zip(r-4.3)
nlmeVPC_2.6.tgz(r-4.4-x86_64)nlmeVPC_2.6.tgz(r-4.4-arm64)nlmeVPC_2.6.tgz(r-4.3-x86_64)nlmeVPC_2.6.tgz(r-4.3-arm64)
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nlmeVPC_2.6.tgz(r-4.4-emscripten)nlmeVPC_2.6.tgz(r-4.3-emscripten)
nlmeVPC.pdf |nlmeVPC.html✨
nlmeVPC/json (API)

# Install 'nlmeVPC' in R:

install.packages('nlmeVPC', repos = c('https://ek-lee.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:

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

cpp openmp

1.04 score 11 scripts 203 downloads 14 exports 76 dependencies

Last updated 2 years agofrom:43f02a4aa9. Checks:1 OK, 8 NOTE. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Jan 07 2025
R-4.5-win-x86_64	NOTE	Jan 07 2025
R-4.5-linux-x86_64	NOTE	Jan 07 2025
R-4.4-win-x86_64	NOTE	Jan 07 2025
R-4.4-mac-x86_64	NOTE	Jan 07 2025
R-4.4-mac-aarch64	NOTE	Jan 07 2025
R-4.3-win-x86_64	NOTE	Jan 07 2025
R-4.3-mac-x86_64	NOTE	Jan 07 2025
R-4.3-mac-aarch64	NOTE	Jan 07 2025

Exports:aqrVPC asVPC bootVPC coverageDetailplot coverageplot FindBestCut findQuantile findSIMQ findSIMQuantile makeCOVbin NumericalCheck optK quantVPC VPCgraph

Dependencies:backports base64enc bslib cachem checkmate cli cluster colorspace data.table digest evaluate fansi farver fastmap fontawesome foreign Formula fs ggplot2 glue gridExtra gtable highr Hmisc htmlTable htmltools htmlwidgets isoband jquerylib jsonlite knitr labeling lattice lifecycle magrittr MASS Matrix MatrixModels memoise mgcv mime munsell nlme nloptr nnet numDeriv optimx pillar pkgconfig pracma quantreg R6 rappdirs RColorBrewer Rcpp RcppArmadillo rlang rmarkdown rpart rstudioapi sass scales SparseM stringi stringr survival tibble timeDate tinytex utf8 vctrs viridis viridisLite withr xfun yaml

Citation

Readme and manuals

Help Manual

Help page	Topics
The visual predictive checks using the additive quantile regression (aqrVPC)	aqrVPC
The average shifted visual predictive checks (asVPC)	asVPC
The bootstrap visual predictive checks.	bootVPC
The detailed coverage plot	coverageDetailplot
The coverage plot	coverageplot
Find the best cutoff values of binning for the visual predictive checks.	FindBestCut
Find quantiles of the original data.	findQuantile
Find quantiles of the simulated data using Rcpp	findSIMQ
Find quantiles of the simulated data.	findSIMQuantile
Discretise numeric data into categorical data	makeCOVbin
The numerical predictive checks	NumericalCheck
Find the optimal number of bins	optK
Pharmacokinetics of Theophylline with a different schedule of time.	origdata
The quantified visual predictive check plot (QVPC)	quantVPC
Simulation data	simdata
The original visual predictive check plot (VPC)	VPCgraph

Package: nlmeVPC 2.6

nlmeVPC: Visual Model Checking for Nonlinear Mixed Effect Model

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)