mul.model: Create a data object for multivariate network meta-analysis...
In vandy10s/mnma: Multivariate Network Meta-Analysis (NMA) within a Bayesian Framework

The function creates a data frame for bugs operation, using outcome 1, outcome 2, and treatments inputs

1	mul.model(data1, data2, TX, noa = "3arm", ref = 1, parameters = "simple")

`data1`	A data frame for outcome 1. First 2 (or 3) columns contain the information about number of events for each arm and the rest 2 (or 3) colums contain the sample size for each arm. Number of columns is from 2 to 3, depending on the number of maximum arms in the data.
`data2`	A data frame for outcome 2, which has the same number of rows and columns.
`TX`	A data frame for tratments, which has maximum 3 treatments in 3 columns. The number of rows should coincide with data1 and data2.
`noa`	Maximum number of arms in the trial studies.
`ref`	reference treatment numbers in the analysis
`parameters`	'simple' or 'details' list of parameters.

mnma.model object for mnma.run operation

vandy10s/mnma documentation built on May 19, 2019, 8:24 a.m.

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