Other packages > Find by keyword >

MBNMAtime  

Run Time-Course Model-Based Network Meta-Analysis (MBNMA) Models
View on CRAN: Click here


Download and install MBNMAtime package within the R console
Install from CRAN:
install.packages("MBNMAtime")

Install from Github:
library("remotes")
install_github("cran/MBNMAtime")

Install by package version:
library("remotes")
install_version("MBNMAtime", "0.2.6")



Attach the package and use:
library("MBNMAtime")
Maintained by
Hugo Pedder
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-28
Latest Update: 2025-01-29
Description:
Fits Bayesian time-course models for model-based network meta-analysis (MBNMA) that allows inclusion of multiple time-points from studies. Repeated measures over time are accounted for within studies by applying different time-course functions, following the method of Pedder et al. (2019) . The method allows synthesis of studies with multiple follow-up measurements that can account for time-course for a single or multiple treatment comparisons. Several general time-course functions are provided; others may be added by the user. Various characteristics can be flexibly added to the models, such as correlation between time points and shared class effects. The consistency of direct and indirect evidence in the network can be assessed using unrelated mean effects models and/or by node-splitting.
How to cite:
Hugo Pedder (2019). MBNMAtime: Run Time-Course Model-Based Network Meta-Analysis (MBNMA) Models. R package version 0.2.6, https://cran.r-project.org/web/packages/MBNMAtime. Accessed 15 Sep. 2026.
Previous versions and publish date:
0.1.2 (2019-10-28 14:40), 0.1.3 (2020-03-04 16:50), 0.2.0 (2021-04-26 15:10), 0.2.1 (2021-09-13 17:10), 0.2.3 (2023-03-17 13:30), 0.2.4 (2023-10-14 17:20), (2026-07-09 08:08)
Other packages that cited MBNMAtime R package
View MBNMAtime citation profile
Other R packages that MBNMAtime depends, imports, suggests or enhances
Complete documentation for MBNMAtime
Functions, R codes and Examples using the MBNMAtime R package
Some associated functions: MBNMAtime-package . add_index . alog_pcfb . copd . cumrank . devplot . fitplot . gen.parameters.to.save . genmaxcols . genspline . get.earliest.time . get.latest.time . get.model.vals . get.prior . get.relative . getjagsdata . getnmadata . goutSUA_CFB . goutSUA_CFBcomb . inconsistency.loops . mb.comparisons . mb.make.contrast . mb.network . mb.nodesplit.comparisons . mb.nodesplit . mb.run . mb.update . mb.validate.data . mb.write . nma.run . obesityBW_CFB . osteopain . pDcalc . plot.mb.predict . plot.mb.rank . plot.mbnma . predict.mbnma . print.mb.network . print.mb.predict . print.mb.rank . print.nodesplit . print.relative.array . radian.rescale . rank.mb.predict . rank.mbnma . rank . rankauc . ref.comparisons . ref.synth . ref.validate . remove.loops . replace.prior . summary.mb.network . summary.mb.predict . summary.mbnma . summary.nodesplit . temax . texp . tfpoly . timeplot . tloglin . tpoly . tspline . tuser . write.beta . write.check . write.cor . write.likelihood . write.model . write.ref.synth . write.timecourse . 
Some associated R codes: MBNMAtime.R . datasets.R . globals.R . mb.network-class.R . mb.predict-class.R . mb.rank-class.R . mbnma-class.R . nodesplit-class.R . nodesplit.functions.R . plot.functions.R . predict.functions.R . prepare.functions.R . print.sum.functions.R . rank.functions.R . relative.array-class.R . run.functions.R . time.functions.R . write.jags.R .  Full MBNMAtime package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

objectSignals  
Observer Pattern for S4
A mutable Signal object can report changes to its state, clients could register functions so that t ...
Download / Learn more Package Citations See dependency  
RXshrink  
Maximum Likelihood Shrinkage using Generalized Ridge or Least Angle Regression
Functions are provided to calculate and display ridge TRACE Diagnostics for a variety of alternativ ...
Download / Learn more Package Citations See dependency  
CTTinShiny  
Shiny Interface for the CTT Package
A Shiny interface developed in close coordination with the CTT package, providing a GUI that guides ...
Download / Learn more Package Citations See dependency  
AFR  
Toolkit for Regression Analysis of Kazakhstan Banking Sector Data
Tool is created for regression, prediction and forecast analysis of macroeconomic and credit data. ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
functClust  
Functional Clustering of Redundant Components of a System
Cluster together the components that make up an interactivesystem on the basis of their functional r ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,566

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA