prep_for_nimble: Create data list for NIMBLE analysis
In dsjohnson/agTrendNimble: Interpolate Survey Counts For Site-Level Aggregating

Create a named list with data structures necessary to run the MCMC in NIMBLE

prep_for_nimble(
  x,
  timeframe,
  model.cuts = c(5, 10),
  max.factor = 3,
  debug = FALSE
)

`x`	Data containing the Steller sea lion counts and sites
`timeframe`	A 2-vector containing the start and years for the modeling effort
`model.cuts`	A 2-vector specifying the numbers of positive counts necessary for each model type. E.g., `model.cuts=c(5,10)` implies that a constant model (over years) is used for sites with <=5 positive counts, a linear model is used for the number of positive counts in (5, 10], and a low-rank Gaussian process is used for the number of positive counts >10.
`max.factor`	Maximum value for imputed counts calculated as `max.factor * max(counts)`. Currently this is not implemented, so, it is ignored
`debug`	Logical. Should debug mode be entered. Probably just for Devin to use.