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nmaINLA (version 1.1.0)

Network Meta-Analysis using Integrated Nested Laplace Approximations

Description

Performs network meta-analysis using integrated nested Laplace approximations ('INLA') which is described in Guenhan, Held, and Friede (2018) . Includes methods to assess the heterogeneity and inconsistency in the network. Contains more than ten different network meta-analysis dataset. 'INLA' package can be obtained from .

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install.packages('nmaINLA')

Monthly Downloads

200

Version

1.1.0

License

GPL (>= 2)

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Maintainer

Burak Kuersad Guenhan

Last Published

July 21st, 2021

Functions in nmaINLA (1.1.0)

CooperStrokedat

Data for the stroke prevention NMA-network discussed in Cooper et al. (2009)
IncDiabetesdat

Data for the Incident Diabetes example in Elliott et al. (2007)
Parkinsondat

Data for the Parkinson NMA-network discussed in Dias et al. (2013)
Dietaryfatdat

Data for the Dietary fat example in Dias et al. (2011)
Diabetesdat

Data for the Diabetes example in Senn et al. (2013)
Certolizumabdat

Data for the Certolizumab NMA-network discussed in Dias et al. (2013)
KussHeartdat

Data for the ischemic heart disease sparse pairwise meta-analysis discussed in Kuss (2014)
Flourdat

Data for the Flour NMA example in Dias et al. (2010)
Smokdat

Data for the smoking cessation NMA-network discussed in Dias et al. (2010)
Anestheticdat

Data for the Anesthetic example in Greco et al. (2013)
nma_inla

Fitting a network meta-analysis model using INLA
create_INLA_dat_pair

Prepare pairwise meta-analysis dataset for INLA.
create_INLA_dat

Prepare network meta-analysis dataset for INLA.
plot_nma

Plot a network plot
TBdat

Trials investigating effectiveness of the BCG vaccine against TB
Strokedat

Data for the Stroke NMA regression discussed in Batson et al. (2016)
print.nma_inla

Print nmainla object
meta_inla

Fitting a pairwise meta-analysis model using INLA.
nmaINLA

nmaINLA: Network meta-analysis using INLA
Thrombdat

Data for the thrombolytic NMA-network discussed in Dias et al. (2010)
Woodsdat

Data for the Woods example in Woods et al. (2010)