Visual Model Checking for Nonlinear Mixed Effect Model
c(person(given = "Eun-Kyung",
family = "Lee",
role = c("aut", "cre"),
email = "lee.eunk@gmail.com"),
person(given = "Eun-Hwa",
family = "Kang",
role = c("aut")))
Various visual and numerical diagnosis methods for the nonlinear mixed effect model, including visual predictive checks, numerical predictive checks, and coverage plot (Karlsson and Holford, 2008, <https://www.page-meeting.org/?abstract=1434>).
dplyr, tidyr, quantreg, optimx, ggplot2, timeDate, plyr, Rcpp
Eun-Kyung Lee [aut, cre],
Eun-Hwa Kang [aut]

quantreg, optimx, ggplot2, Rcpp, timeDate

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>).

Nonlinear Mixed Effects Models in Population Pharmacokinetics
and Pharmacodynamics
Rcpp (>= 0.12.3), brew, lattice, parallel, lbfgs, inline,
dparser, methods, ggplot2, memoise, rex, minqa, Matrix,
numDeriv, R.utils, mvtnorm, n1qn1
knitr, rmarkdown, dplyr, data.table, lbfgsb3, testthat,
madness, devtools, expm, matrixcalc, reshape2
c(person("Matthew","Fidler",
role = "aut", email = "matthew.fidler@gmail.com"),
person("Yuan", "Xiong",
role = "aut", email = "yuan.xiong@gmail.com"),
person("Rik", "Schoemaker",
role = "aut", email = "rik.schoemaker@occams.com"),
person("Justin", "Wilkins",
role = "aut", email = "justin.wilkins@occams.com"),
person("Mirjam","Trame",
role = "aut", email = "mirjam.trame@gmail.com"),
person("Robert","Leary", role = "ctb"),
person("Wenping", "Wang",
role = c("aut", "cre"), email = "wwang8198@gmail.com"),
person("Hadley","Wickham", role = "ctb"),
person("Dirk","Eddelbuettel",
role = "cph", email = "edd@debian.org"),
person("David","Ardia",role = "cph"),
person("Katharine","Mullen",role = "cph"),
person("Sylvan","Elhay",role = "cph"),
person("Jaroslav","Kautsky",role = "cph"),
person("John","Burkardt",role = "cph"),
person("Shanjie","Zhang",role = "cph"),
person("Jianming","Jin",role = "cph")
)
Fit and compare nonlinear mixed-effects models in differential
equations with flexible dosing information commonly seen in pharmacokinetics
and pharmacodynamics (Almquist, Leander, and Jirstrand 2015
<doi:10.1007/s10928-015-9409-1>). Differential equation solving is
by compiled C code provided in the 'RxODE' package
(Wang, Hallow, and James 2015 <doi:10.1002/psp4.12052>).
Matthew Fidler [aut],
Yuan Xiong [aut],
Rik Schoemaker [aut],
Justin Wilkins [aut],
Mirjam Trame [aut],
Robert Leary [ctb],
Wenping Wang [aut, cre],
Hadley Wickham [ctb],
Dirk Eddelbuettel [cph],
David Ardia [cph],
Katharine Mullen [cph],
Sylvan Elhay [cph],
Jaroslav Kautsky [cph],
John Burkardt [cph],
Shanjie Zhang [cph],
Jianming Jin [cph]