Run a grid — run_grid • sbt

Fit a model for each grid cell defined in grid where each grid cell has a different combination of fixed parameter values.

Usage

run_grid(
  data,
  grid,
  bounds,
  map = list(),
  random = c(),
  control = list(eval.max = 200, iter.max = 150)
)

data: a list containing the data created using the get_data function.
grid: a list of parameter inputs for each grid cell. This can be created using get_grid.
bounds: the lower and upper parameter bounds created using the get_bounds function.
map: a list defining how to optionally collect and fix parameters.
random: a character vector defining the random effect parameters.
control: a list defining the controls passed to nlminb.

a list of grid cells.