View source: R/relative.effect.R
relative.effect | R Documentation |
Calculates the relative effects of pairs of treatments.
relative.effect(result, t1, t2 = c(), preserve.extra = TRUE, covariate = NA)
result |
An object of S3 class |
t1 |
A list of baselines to calculate a relative effects against. Will be extended to match the length of t2. |
t2 |
A list of treatments to calculate the relative effects for. Will be extended to match the length of t1. If left empty and t1 is a single treatment, relative effects of all treatments except t1 will be calculated. |
preserve.extra |
Indicates whether to preserve extra parameters such as the sd.d. |
covariate |
(Regression analyses only) Value of the covariate at which to compute relative effects. |
Returns an mtc.results
object containing the calculated relative effects.
Note that this method stores the raw samples, which may result in excessive memory usage. You may want to consider using relative.effect.table
instead.
Gert van Valkenhoef, Joël Kuiper
rank.probability
,
relative.effect.table
model <- mtc.model(smoking)
# To save computation time we load the samples instead of running the model
## Not run: results <- mtc.run(model)
results <- readRDS(system.file("extdata/luades-smoking-samples.rds", package="gemtc"))
# Creates a forest plot of the relative effects
forest(relative.effect(results, "A"))
summary(relative.effect(results, "B", c("A", "C", "D")))
## Iterations = 5010:25000
## Thinning interval = 10
## Number of chains = 4
## Sample size per chain = 2000
##
## 1. Empirical mean and standard deviation for each variable,
## plus standard error of the mean:
##
## Mean SD Naive SE Time-series SE
## d.B.A -0.4965 0.4081 0.004563 0.004989
## d.B.C 0.3394 0.4144 0.004634 0.004859
## d.B.D 0.6123 0.4789 0.005354 0.005297
## sd.d 0.8465 0.1913 0.002139 0.002965
##
## 2. Quantiles for each variable:
##
## 2.5% 25% 50% 75% 97.5%
## d.B.A -1.3407 -0.7530 -0.4910 -0.2312 0.2985
## d.B.C -0.4809 0.0744 0.3411 0.5977 1.1702
## d.B.D -0.3083 0.3005 0.6044 0.9152 1.5790
## sd.d 0.5509 0.7119 0.8180 0.9542 1.2827
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