Name | Modified | Size | Downloads / Week |
---|---|---|---|
bear | < 9 hours ago | ||
stab | 2024-03-22 | ||
tdm | 2022-08-27 | ||
PKfit | 2022-04-27 | ||
ivivc | 2022-04-03 | ||
preinst.r | 2024-08-22 | 19.1 kB | |
README.md | 2024-08-22 | 4.5 kB | |
Totals: 7 Items | 23.6 kB | 43 |
DESCRIPTIONS
about preinst.r
(v6.8, Aug. 22, 2024)
VERY IMPORTANT. PLEASE READ CAREFULLY TO SAVE YOUR TIME AND AVOID POSSIBLE ERRORS.
- Only R v4.0.x ~ v4.1.x are supported for the moment.
- Please run these packages only with R console/terminal; RStudio may not be compatible.
- fix installation of the package broom.helpers (for tdm) for v6.8.
This file is not a part of R packages, but an R script to automate the installation for all the required packages/libraries for the listed R packages, as well as the packages listed here. Please download preinst.r
from this page and place/copy it to the R working directory. Use 'getwd()' to find out where the directory is. Under R console, type source("preinst.r")
and click the package to install. You require system administrator's privilege (Windows & Linux) to run this script. Answer "Yes" if asked for anything during installation.GTK+ runtime is now bundled with RGtk2 installation for Windows platform, as well as more GTK+ (a.k.a. GTK2) themes were added.
Package: bear
- Version: 2.9.1
- Date: 2022-04-03
- Title: Data Analysis Tool for Average Bioequivalence and Bioavailability
- Author: Hsin-ya Lee, Yung-jin Lee
- Maintainer: Yung-jin Lee
- Depends: R (>= 4.0.0)
- Description:
This data analysis tool for average bioequivalence and bioavailability study includes sample size estimation, non-compartmental analysis, ANOVA for a standard 2x2x2 crossover design or a parallel study, and using a linear mixed effect model for a replicate crossover design with a 2-treatment, 2-sequence, 3to 6-period design.
- License: GPL (>= 2)
- NeedsCompilation: no
- URL: https://pkpd168.com/bear
- Contact: Yung-jin Lee (pkpd168 at gmail.com)
Package: ivivc
- Version: 0.3.4
- Date: 2022-04-03
- Title: A Data Analysis Tool for In Vitro-In Vivo Correlation
- Author: Hsin-ya Lee, Yung-jin Lee
- Maintainer: Yung-jin Lee
- Depends: R (>= 4.0.0), stats4, reshape
- Imports: data.table, optimx, sciplot, png, grid, deSolve, minpack.lm
- Description:
A menu-driven package for in vitro-in vivo Correlation (IVIVC) model building, data analysis and model validation (only internal validation) based on Wagner-Nelson Method (only for the one-compartment PK model) for Level A correlation.
- License: GPL (>= 2)
- URL: https://pkpd168.com/ivivc
- Contact: Yung-jin Lee (pkpd168 at gmail.com)
Package: PKfit
- Version: 1.5.0
- Date: 2022-04-28
- Title: Data Analysis Tool for Pharmacokinetics
- Author: Chun-ying Lee, Yung-jin Lee
- Maintainer: Yung-jin Lee
- Depends: R (>= 4.0.0)
- Description:
A nonlinear regression program which is designed to perform model/curve fitting and model simulations for pharmacokinetics.
- License: GPL (>= 2)
- URL: https://pkpd168.com/pkfit
- Contact: Yung-jin Lee (pkpd168 at gmail.com)
Package: stab
- Version: 0.5.9
- Date: 2024-03-23
- Title: Data Analysis for Drug Stability
- Author: Hsin-ya Lee, Yung-jin Lee
- Maintainer: Yung-jin Lee
- Depends: R (>= 4.0.0), stats4, MASS, reshape
- Description:
Data analysis of drug stability for shelf-life estimation based on ICH Q1E guideline with single-factor analysis for single-batch or multiple-batch.
- License: GPL (>= 2)
- URL: https://pkpd168.com/stab
- Contact: Yung-jin Lee (pkpd168 at gmail.com)
Package: tdm
- Title: Data Analysis for Therapeutic Drug Monitoring
- Version: 3.1.5
- Date: 2022-04-03
- Author: Miou-ting Chen, Yung-jin Lee
- Description:
Using Bayesian inference to estimate individual pharmacokinetic parameters with one or more drug serum/plasma concentrations obtained from a single subject using a Bayesian inference program, JAGS (Just Another Gibbs Sampling; a computer program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo simulation), interfaced with rjags and ggmcmc. Besides, it also can calculate a suggested dose based on the target drug concentration (C ->D) or calculate a predicted drug concentration with a given dose (D -> C).
- Maintainer: Yung-jin Lee
- Depends: R (>= 4.0.0)
- Imports: rjags, coda, png, grid, deSolve
- License: GPL (>=2)
- URL: https://pkpd168.com/tdm
- Contact: Yung-jin Lee (pkpd168 at gmail.com)