Package ‘ nlme ’
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چکیده
منابع مشابه
Non-linear mixed-effects pharmacokinetic/pharmacodynamic modelling in NLME using differential equations
The standard software for non-linear mixed-effect analysis of pharmacokinetic/pharmacodynamic (PK/PD) data is NONMEM while the non-linear mixed-effects package NLME is an alternative as long as the models are fairly simple. We present the nlmeODE package which combines the ordinary differential equation (ODE) solver package odesolve and the non-linear mixed effects package NLME thereby enabling...
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Loading required package: mgcv Loading required package: nlme This is mgcv 1.7-28. For overview type 'help("mgcv-package")'. Loading required package: MASS Attaching package: 'labdsv' The following object is masked from 'package:stats': density library(miscTools) library(xtable) library(ggplot2) # These options just for debugging knitr is automatically in dir. # setwd('~/Dropbox/rwjf/Meadow_eta...
متن کاملUsing the dlmap package
The dlmap package represents the implementation of the DLMapping algorithm as described in [2]. DLMapping is a novel method of QTL mapping in a mixed model framework with separate detection and localization stages. The following vignette documents its usage through examples based on the datasets included in the package. The mixed model framework of the algorithm requires supplementary packages ...
متن کاملPackage ‘ bear ’
June 29, 2010 Version 2.5.3 Date 2010-06-25 Title Average bioequivalence and bioavailability data analysis tool Author Hsin-ya Lee, Yung-jin Lee Maintainer Yung-jin Lee Depends R (>= 2.10.0), reshape, nlme, sciplot, plotrix, ICSNP, gdata Description An average bioequivalence (ABE) and bioavailability data analysis tool including sample size estimation, noncompartmental anal...
متن کاملTitle Population (and Individual) Optimal Experimental Design
March 20, 2015 Type Package Title Population (and Individual) Optimal Experimental Design Version 0.2.0 Depends ggplot2 Imports MASS, mvtnorm, nlme, dplyr, codetools Suggests testthat, Hmisc Description Optimal experimental designs for both population and individual studies based on nonlinear mixed-effect models. Often this is based on a computation of the Fisher Information Matrix (FIM). This ...
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