An S7 class for representing network meta-analysis results including comparison tables, network structure, and metadata.
Usage
NMAResult(
comparisons = data.frame(),
network = list(),
model = "random",
effect_measure = "hr",
conf_level = 0.95,
method = "bucher_chain",
n_studies = NA_integer_,
metadata = list()
)Arguments
- comparisons
Data frame of treatment comparisons vs reference
- network
List containing network structure:
treatments: character vector of treatment names
n_treatments: integer number of treatments
edges: data frame of study comparisons
reference: character reference treatment name
- model
Character string: "fixed" or "random"
- effect_measure
Character string: "hr", "or", "rr", "rd", "md", "smd"
- conf_level
Numeric confidence level (default: 0.95)
- method
Character string for NMA method
- n_studies
Integer number of studies in the network
- metadata
List of additional metadata
Examples
if (FALSE) { # \dontrun{
result <- NMAResult(
comparisons = comparison_df,
network = list(
treatments = c("A", "B", "C"),
n_treatments = 3L,
edges = data.frame(treat1 = "A", treat2 = "B", n_studies = 2L),
reference = "A"
),
model = "random",
effect_measure = "hr"
)
} # }