R: Make a 3D landscape for an Ising network

make_3d_Isingland {Isinglandr}

R Documentation

Make a 3D landscape for an Ising network

Similar to make_2d_Isingland(), but two categories of nodes can be specified so the number of active nodes can be calculated separately.

make_3d_Isingland(thresholds, weiadj, x, y, beta = 1, transform = FALSE)

`thresholds`, `weiadj`	The thresholds and the weighted adjacency matrix of the Ising network. If you have an `IsingFit` object estimated using `IsingFit::IsingFit()`, you can find those two parameters in its components (`⁠<IsingFit>$thresholds⁠` and `⁠<IsingFit>$weiadj⁠`).
`x`, `y`	Two vectors specifying the indices or the names of the nodes for two categories.
`beta`	The `\beta` value for calculating the Hamiltonian.
`transform`	By default, this function considers the Ising network to use `-1` and `1` for two states. Set `transform = TRUE` if the Ising network uses `0` and `1` for two states, which is often the case for the Ising networks estimated using `IsingFit::IsingFit()`.

A ⁠3d_Isingland⁠ object that contains the following components:

dist_raw,dist Two tibbles containing the probability distribution and the potential values for different states.
thresholds,weiadj,beta The parameters supplied to the function.
Nvar The number of variables (nodes) in the Ising network.