Prediction intervals for all network treatment contrasts

Usage

network_prediction_intervals(object, level = 0.95)

Arguments

object: A fitted nma_mars object.
level: Prediction interval level.

Value

A data frame with total network effects, standard errors, the between-study variance used for prediction, and prediction interval bounds.

Examples

# \donttest{
network_prediction_intervals(nma_fit)
#>   treatment_1 treatment_2     total  total_se tau2_prediction prediction_se
#> 1           A           B 0.1947368 0.1376494               0     0.1376494
#> 2           A           C 0.3192982 0.1675416               0     0.1675416
#> 3           B           C 0.1245614 0.1611363               0     0.1611363
#>   prediction_lower prediction_upper
#> 1     -0.075051103        0.4645248
#> 2     -0.009077184        0.6476737
#> 3     -0.191259972        0.4403828
# }