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Plot the component network

Source: R/plot.R
plot.cpaic_network.Rd

Draws the treatment network with the disconnection made explicit: nodes are colored by sub-network, edges are colored by whether the study carries individual patient data (IPD) or aggregate data (AgD) only, and the components that bridge the sub-networks are named in the subtitle. Treatments that contain a bridging component are outlined, because those are the nodes through which the additive component model reconnects the network.

Usage

# S3 method for class 'cpaic_network'
plot(x, ..., weight_edges = TRUE, show_bridges = TRUE, nudge = 0.25)

Arguments

x

A cpaic_network() object.

...

Unused.

weight_edges

Scale edge width by the number of studies contributing to a comparison? Default TRUE.

show_bridges

Outline treatments that contain a bridging component, and name the bridging components in the subtitle? Default TRUE.

nudge

Distance by which treatment labels are pushed away from their node. Default 0.25.

Value

A ggplot object, so it can be modified with the usual ggplot2 verbs.

Details

Each sub-network is laid out on its own circle, so a disconnected network looks disconnected. Ported in spirit from multinma::plot.nma_data() (Phillippo et al. 2020), re-implemented on ggplot2 without a ggraph dependency.

See also

cpaic_connectivity(), forest()

Examples

net <- cpaic_network(cpaic_bin_agd, ipd = cpaic_bin_ipd, sm = "OR",
                     family = "binomial", ipd_covariates = "x1",
                     inactive = "Placebo")
plot(net)