Provides the list of currently supported visualization options for the observations, depending on their emission distribution.

Specifying viz options is mostly useful for the visualization of observation sequences with the function plot_hsmm_seq().

available_emission_viz_options()

Value

A data.frame with the following columns: distribution, viz_options and option_description.

Examples

my_model_no_viz_options = specify_hsmm(
   J = 2,
   init = c(1,0),
   transition = matrix(c(0,1,1,0),2,2),
   sojourn = list(type = "gamma", shape = c(2,10), scale = c(10,3)),
   marg_em_probs = list(
       var1 = list(
           type = "norm",
           params = list(
               mean = c(0,1),
               sd = c(0.3,0.2)
               )
           ),
     var2 = list(
         type = "binom",
         params = list(
             size = rep(1,2),
             prob = c(0.2,0.8)
             )
         ),
     var3 = list(
         type = "non-par",
         params = list(
             values = c("a","b","c","d"),
             probs = matrix(c(0.7,0.1,0.1,0.1,
                            1/4,1/4,1/4,1/4), 4,2)
           ),
         viz_options = list(colors = c("black","slateblue1","#E90046","#0EC290"))
         )
     ),
   censoring_probs = list(p = c(0.1,0.2), q = matrix(c(0.1,0.2,0.3,0.4,0.5,0.6), nrow = 3, ncol = 2)),
   state_names = c("A","B"),
   state_colors = c("seagreen1","slategray")
)
class(my_model_no_viz_options)
#> [1] "hsmm"
Xsim = simulate_hsmm(model = my_model_no_viz_options, n_state_transitions = 20)
plot_hsmm_seq(model = my_model_no_viz_options, X = Xsim)

my_model = my_model_no_viz_options
my_model$marg_em_probs$var1$viz_options$color_low = "black"
my_model$marg_em_probs$var2$viz_options$color_max = "blue"
my_model$marg_em_probs$var3$viz_options$colors = c("purple","gray","blue","orange")
plot_hsmm_seq(model = my_model, X = Xsim)

Value

See also

Examples