config.md
In IxPopDyMod: Framework for Tick Population and Infection Modeling

output test with NULL predictors

Code
  new_config(cycle = life_cycle(transition("a", "b", f1, "probability"),
  transition("b", "a", f2, "probability")), preds = NULL, initial_population = c(
    a = 1L, b = 0L), steps = 10L, max_duration = 365L)
Output
  $cycle
  ** A life cycle
  ** Number of transitions: 2
  ** Unique life stages: a, b
  1. a -> b 
  2. b -> a

  $initial_population
  a b 
  1 0

  $preds
  NULL

  $steps
  [1] 10

  $max_duration
  [1] 365

  attr(,"class")
  [1] "config"

output test with non-NULL predictors

Code
  new_config(cycle = life_cycle(transition("a", "b", f1, "probability"),
  transition("b", "a", f2, "probability")), preds = predictors(data.frame(pred = "temp",
    pred_subcategory = NA, j_day = NA, value = 1)), initial_population = c(a = 1L,
    b = 0L), steps = 10L, max_duration = 365L)
Output
  $cycle
  ** A life cycle
  ** Number of transitions: 2
  ** Unique life stages: a, b
  1. a -> b 
  2. b -> a

  $initial_population
  a b 
  1 0

  $preds
    pred pred_subcategory j_day value
  1 temp               NA    NA     1

  $steps
  [1] 10

  $max_duration
  [1] 365

  attr(,"class")
  [1] "config"