Extract a term and replicates it randomN times for each linear model — extract_replicate_term_to

Extract a term and replicates it randomN times for each linear model. Used for population mean or variance terms.

Usage

extract_replicate_term_to_matrix(object, term)

Arguments

object: An object of class cumhist
term: String, term name

Value

Matrix

Examples

# \donttest{
br_fit <- fit_cumhist(br_singleblock, state = "State", duration = "Duration")
#> 
#> SAMPLING FOR MODEL 'historylm' NOW (CHAIN 1).
#> Chain 1: 
#> Chain 1: Gradient evaluation took 0 seconds
#> Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0 seconds.
#> Chain 1: Adjust your expectations accordingly!
#> Chain 1: 
#> Chain 1: 
#> Chain 1: Iteration:    1 / 2000 [  0%]  (Warmup)
#> Chain 1: Iteration:  200 / 2000 [ 10%]  (Warmup)
#> Chain 1: Iteration:  400 / 2000 [ 20%]  (Warmup)
#> Chain 1: Iteration:  600 / 2000 [ 30%]  (Warmup)
#> Chain 1: Iteration:  800 / 2000 [ 40%]  (Warmup)
#> Chain 1: Iteration: 1000 / 2000 [ 50%]  (Warmup)
#> Chain 1: Iteration: 1001 / 2000 [ 50%]  (Sampling)
#> Chain 1: Iteration: 1200 / 2000 [ 60%]  (Sampling)
#> Chain 1: Iteration: 1400 / 2000 [ 70%]  (Sampling)
#> Chain 1: Iteration: 1600 / 2000 [ 80%]  (Sampling)
#> Chain 1: Iteration: 1800 / 2000 [ 90%]  (Sampling)
#> Chain 1: Iteration: 2000 / 2000 [100%]  (Sampling)
#> Chain 1: 
#> Chain 1:  Elapsed Time: 3.997 seconds (Warm-up)
#> Chain 1:                4.474 seconds (Sampling)
#> Chain 1:                8.471 seconds (Total)
#> Chain 1: 
bH_mu <- extract_replicate_term_to_matrix(br_fit, "bH_mu")
# }