Multiavariate plot (surface)

plot_multivariate(
  fun,
  params,
  domain,
  sets,
  nlevels = 20,
  args = list(),
  plotfun = graphics::image,
  plot = TRUE,
  postplot = function(params, res) {
     points(params, cex = 2, pch = 3, col = "red")

    },
  mfrow = NULL,
  ...
)

Arguments

fun: A function that receives 2 or more parameters and returns a single number.
params: Numeric vector with the default parameters.
domain: (optional) Named list with as many elements as parameters. Specifies the domain of the function.
sets: (optional) Character matrix of size 2 x # of combinations. contains the names of the pairs to plot. If nothing passed, the function will generate all possible combinations as combn(names(params), 2).
nlevels: Integer. Number of levels.
args: List of named arguments to be passed to fun.
plotfun: Function that will be used to plot x,y,z.
plot: Logical. When FALSE skips plotting.
postplot: Function to be called after plotfun. Should recieve a vector with the current parameters.
mfrow: Passed to graphics::par.
...: Further arguments passed to plotfun.

Value

A list of length length(sets), each with the following:

x,y,z vectors of coordinates.
xlab,ylab vectors with the corresponding labels.

Examples

# Example: A model with less parameters
set.seed(1231)
x <- raphylo(20)
ans <- aphylo_mcmc(
  x ~ psi + mu_d + mu_s,
  control = list(nsteps = 1e3, burnin = 0)
  )
#> Warning: While using multiple chains, a single initial point has been passed via `initial`: c(0.1, 0.05, 0.9, 0.5, 0.1, 0.05). The values will be recycled. Ideally you would want to start each chain from different locations.
#> No convergence yet (steps count: 1000). Gelman-Rubin's R: 1.8467. Trying with the next bulk.
#> No convergence reached after 1000 steps (100 final count of samples).

# Creating the multivariate plot (using by default image)
plot_multivariate(
  function(...) {
    ans$fun(unlist(list(...)), priors = ans$priors, dat = ans$dat, verb_ans = FALSE)
  },
  sets = matrix(c("mu_d0", "mu_d1", "psi0", "psi1"), ncol=2),
  params = ans$par
)