All functions
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Anestheticdat
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Data for the Anesthetic example in Greco et al. (2013) |
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Certolizumabdat
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Data for the Certolizumab NMA-network discussed in Dias et al. (2013) |
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CooperStrokedat
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Data for the stroke prevention NMA-network discussed in Cooper et al. (2009) |
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Diabetesdat
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Data for the Diabetes example in Senn et al. (2013) |
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Dietaryfatdat
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Data for the Dietary fat example in Dias et al. (2011) |
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Flourdat
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Data for the Flour NMA example in Dias et al. (2010) |
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IncDiabetesdat
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Data for the Incident Diabetes example in Elliott et al. (2007) |
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KussHeartdat
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Data for the ischemic heart disease sparse pairwise meta-analysis discussed in Kuss (2014) |
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Parkinsondat
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Data for the Parkinson NMA-network discussed in Dias et al. (2013) |
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Smokdat
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Data for the smoking cessation NMA-network discussed in Dias et al. (2010) |
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Strokedat
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Data for the Stroke NMA regression discussed in Batson et al. (2016) |
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TBdat
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Trials investigating effectiveness of the BCG vaccine against TB |
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Thrombdat
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Data for the thrombolytic NMA-network discussed in Dias et al. (2010) |
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Woodsdat
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Data for the Woods example in Woods et al. (2010) |
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create_INLA_dat()
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Prepare network meta-analysis dataset for INLA. |
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create_INLA_dat_pair()
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Prepare pairwise meta-analysis dataset for INLA. |
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meta_inla()
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Fitting a pairwise meta-analysis model using INLA. |
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nmaINLA
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nmaINLA: Network meta-analysis using INLA |
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nma_inla()
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Fitting a network meta-analysis model using INLA |
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plot_nma()
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Plot a network plot |
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print(<nma_inla>)
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Print nmainla object |