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Update a Probabilistic Network of Project Risks.

Source: R/network.R
prob_net_update.Rd

Experimental. This function is part of the experimental probabilistic network module and the API may change in future versions.

Usage

prob_net_update(
  graph,
  add_links = NULL,
  remove_links = NULL,
  update_distributions = NULL
)

Arguments

graph

An existing probabilistic network created by prob_net().

Optional. A data frame with columns source and target to add new links.

Optional. A data frame with columns source and target to remove existing links.

update_distributions

Optional. A named list of distributions to update. Format follows prob_net().

Value

An updated prob_net object with modified links and/or distributions.

Details

This function updates an existing probabilistic network by adding or removing dependencies (edges) and updating probability distributions for nodes.

Examples

nodes <- data.frame(id = c("A", "B", "C"))
links <- data.frame(source = c("A", "B"), target = c("B", "C"))
distributions <- list(
 A = list(type = "discrete", values = c(0, 1), probs = c(0.5, 0.5)),
 B = list(type = "normal", mean = 0, sd = 1),
 C = list(type = "uniform", min = 1, max = 5)
)
graph <- prob_net(nodes, links, distributions)
# Update the network
new_links <- data.frame(source = c("A"), target = c("C"))
updated_distributions <- list(
 B = list(type = "lognormal", meanlog = 0, sdlog = 0.5)
)
updated_graph <- prob_net_update(
 graph,
 add_links = new_links,
 update_distributions = updated_distributions
)