Compute posterior uncertainty intervals

Compute posterior uncertainty intervals for brmsfit objects.

Usage

# S3 method for class 'brmsfit'
posterior_interval(object, pars = NA, variable = NULL, prob = 0.95, ...)

Arguments

object

An object of class brmsfit.

pars

Deprecated alias of variable. For reasons of backwards compatibility, pars is interpreted as a vector of regular expressions by default unless fixed = TRUE is specified.

variable

A character vector providing the variables to extract. By default, all variables are extracted.

prob

A value between 0 and 1 indicating the desired probability to be covered by the uncertainty intervals. The default is 0.95.

...

More arguments passed to as.matrix.brmsfit.

Value

A matrix with lower and upper interval bounds as columns and as many rows as selected variables.

Examples

# \dontrun{
fit <- brm(count ~ zAge + zBase * Trt,
           data = epilepsy, family = negbinomial())
#> Compiling Stan program...
#> Start sampling
#> 
#> SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 1).
#> Chain 1: 
#> Chain 1: Gradient evaluation took 2.8e-05 seconds
#> Chain 1: 1000 transitions using 10 leapfrog steps per transition would take 0.28 seconds.
#> Chain 1: Adjust your expectations accordingly!
#> Chain 1: 
#> Chain 1: 
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#> Chain 1: 
#> Chain 1:  Elapsed Time: 0.179 seconds (Warm-up)
#> Chain 1:                0.16 seconds (Sampling)
#> Chain 1:                0.339 seconds (Total)
#> Chain 1: 
#> 
#> SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 2).
#> Chain 2: 
#> Chain 2: Gradient evaluation took 2.5e-05 seconds
#> Chain 2: 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
#> Chain 2: Adjust your expectations accordingly!
#> Chain 2: 
#> Chain 2: 
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#> Chain 2: 
#> Chain 2:  Elapsed Time: 0.172 seconds (Warm-up)
#> Chain 2:                0.169 seconds (Sampling)
#> Chain 2:                0.341 seconds (Total)
#> Chain 2: 
#> 
#> SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 3).
#> Chain 3: 
#> Chain 3: Gradient evaluation took 2.5e-05 seconds
#> Chain 3: 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
#> Chain 3: Adjust your expectations accordingly!
#> Chain 3: 
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#> Chain 3: 
#> Chain 3:  Elapsed Time: 0.169 seconds (Warm-up)
#> Chain 3:                0.198 seconds (Sampling)
#> Chain 3:                0.367 seconds (Total)
#> Chain 3: 
#> 
#> SAMPLING FOR MODEL 'anon_model' NOW (CHAIN 4).
#> Chain 4: 
#> Chain 4: Gradient evaluation took 2.5e-05 seconds
#> Chain 4: 1000 transitions using 10 leapfrog steps per transition would take 0.25 seconds.
#> Chain 4: Adjust your expectations accordingly!
#> Chain 4: 
#> Chain 4: 
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#> Chain 4: 
#> Chain 4:  Elapsed Time: 0.174 seconds (Warm-up)
#> Chain 4:                0.172 seconds (Sampling)
#> Chain 4:                0.346 seconds (Total)
#> Chain 4: 
posterior_interval(fit)
#>                       2.5%         97.5%
#> b_Intercept   1.750520e+00    2.04591558
#> b_zAge        4.657528e-03    0.22134717
#> b_zBase       5.722830e-01    0.89531334
#> b_Trt1       -3.929060e-01    0.01682477
#> b_zBase:Trt1 -2.311625e-01    0.21598596
#> shape         1.790139e+00    3.01981728
#> Intercept     1.695828e+00    1.89866548
#> lprior       -4.856244e+00   -4.19394520
#> lp__         -6.679717e+02 -661.34759805
# }