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dfped
View on CRAN: Click
here
Download and install dfped package within the R console
Install from CRAN:
install.packages("dfped")
Install from Github:
library("remotes")
install_github("cran/dfped")
Install by package version:
library("remotes")
install_version("dfped", "1.1")
Attach the package and use:
library("dfped")
Maintained by
Artemis Toumazi
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.dfped . http://github.com/artemis-toumazi/dfped/issues . http://github.com/artemis-toumazi/dfped . dfped results . dfped.pdf . dfped_1.1.tar.gz . dfped_1.1.zip . dfped_1.1.zip . dfped_1.1.zip . dfped_1.1.tgz . dfped_1.1.tgz . dfped_1.1.tgz . dfped_1.1.tgz . dfped_1.1.tgz . dfped_1.1.tgz . dfped archive . https://CRAN.R-project.org/package=dfped .
First Published: 2017-08-01
Latest Update: 2018-03-27
Description:
A unified method for designing and analysing dose-finding trials in paediatrics, while bridging information from adults, is proposed in the 'dfped' package. The dose range can be calculated under three extrapolation methods: linear, allometry and maturation adjustment, using pharmacokinetic (PK) data. To do this, it is assumed that target exposures are the same in both populations. The working model and prior distribution parameters of the dose-toxicity and dose-efficacy relationships can be obtained using early phase adult toxicity and efficacy data at several dose levels through 'dfped' package. Priors are used into the dose finding process through a Bayesian model selection or adaptive priors, to facilitate adjusting the amount of prior information to differences between adults and children. This calibrates the model to adjust for misspecification if the adult and paediatric data are very different. User can use his/her own Bayesian model written in Stan code through the 'dfped' package. A template of this model is proposed in the examples of the corresponding R functions in the package. Finally, in this package you can find a simulation function for one trial or for more than one trial. These methods are proposed by Petit et al, (2016) .
How to cite:
Artemis Toumazi (2017). dfped: Extrapolation and Bridging of Adult Information in Early Phase Dose-Finding Paediatrics Studies. R package version 1.1, https://cran.r-project.org/web/packages/dfped. Accessed 21 Feb. 2025.
Previous versions and publish date:
1.0 (2017-08-01 07:06)
Other packages that cited dfped R package
View dfped citation profile
Other R packages that dfped depends,
imports, suggests or enhances
Complete documentation for dfped
Functions, R codes and Examples using
the dfped R package
Some associated functions: Cladu . Clch.Allo . Clch.Linear . Clch.Mat . Clchu . Fch . KCYP1A2 . KCYP2B6 . KCYP2C18_19 . KCYP2C8 . KCYP2C9 . KCYP2D6 . KCYP2E1 . KCYP3A . KCYP3A4_5 . albAge . alpha1AGage . concAd . concCh . dfped-package . doseChoice . doseRange . fuCh . kickoffControl . metaPhase . priorChoice . sigmaEss . sigmaHI . sigmaLI . simu . simulation . skeleton . waic . weightCYPsum .
Some associated R codes: Cladu.R . Clch.Allo.R . Clch.Linear.R . Clch.Mat.R . Clchu.R . Fch.R . KCYP1A2.R . KCYP2B6.R . KCYP2C18_19.R . KCYP2C8.R . KCYP2C9.R . KCYP2D6.R . KCYP2E1.R . KCYP3A.R . KCYP3A4_5.R . albAge.R . alpha1AGage.R . calcul.bi.R . calcul.biBis.R . calcul.xi.R . colVars.R . concAd.R . concCh.R . crmAtj.R . deltacarre.R . dfped-internal.R . doseChoice.R . doseRange.R . ess.R . fitDataj.R . fuCh.R . kickoffControl.R . metaPhase.R . parametersFitj.R . plotEstimates.R . priorChoice.R . saveSimu.R . sigmaEss.R . sigmaHI.R . sigmaLI.R . simu.R . simulation.R . skeleton.R . varp.R . waic.R . weightCYPsum.R . Full dfped package functions and examples
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