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Extracts a term with one column per fixed or random-level into a matrix

Source: R/extract_term.R
extract_term_to_matrix.Rd

Extracts a 3D array for a term with sample, linear-model, random/fixed-effect order and returns a matrix with samples as rows and columns in order 1) all random/fixed effects for lm1, 2) all random/fixed effects for lm2, etc.

Usage

extract_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: 5.256 seconds (Warm-up)
#> Chain 1:                6.414 seconds (Sampling)
#> Chain 1:                11.67 seconds (Total)
#> Chain 1: 
a <- extract_term_to_matrix(br_fit, "a")
# }