- using R version 4.6.0 (2026-04-24 ucrt)
- using platform: x86_64-w64-mingw32
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gcc.exe (GCC) 14.3.0
GNU Fortran (GCC) 14.3.0
- running under: Windows Server 2022 x64 (build 20348)
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* current time: 2026-06-02 19:17:53 UTC
- checking for file 'mvnma/DESCRIPTION' ... OK
- this is package 'mvnma' version '0.1-0'
- package encoding: UTF-8
- checking package namespace information ... OK
- checking package dependencies ... OK
- checking if this is a source package ... OK
- checking if there is a namespace ... OK
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- checking for portable file names ... OK
- checking whether package 'mvnma' can be installed ... OK
See the install log for details.
- checking installed package size ... OK
- checking package directory ... OK
- checking DESCRIPTION meta-information ... OK
- checking top-level files ... OK
- checking for left-over files ... OK
- checking index information ... OK
- checking package subdirectories ... OK
- checking code files for non-ASCII characters ... OK
- checking R files for syntax errors ... OK
- checking whether the package can be loaded ... [5s] OK
- checking whether the package can be loaded with stated dependencies ... [4s] OK
- checking whether the package can be unloaded cleanly ... [4s] OK
- checking whether the namespace can be loaded with stated dependencies ... [4s] OK
- checking whether the namespace can be unloaded cleanly ... [5s] OK
- checking loading without being on the library search path ... [5s] OK
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- checking R code for possible problems ... [14s] OK
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- checking for code/documentation mismatches ... OK
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- checking Rd contents ... OK
- checking for unstated dependencies in examples ... OK
- checking examples ... [19s] ERROR
Running examples in 'mvnma-Ex.R' failed
The error most likely occurred in:
> ### Name: mvnma
> ### Title: Perform a Bayesian multivariate network meta-analysis using a
> ### single-correlation coefficient model
> ### Aliases: mvnma print.mvnma
>
> ### ** Examples
>
> # Use 'pairwise' to obtain contrast based data for the first two outcomes
>
> # Early response
> pw1 <- pairwise(treat = list(treatment1, treatment2, treatment3),
+ event = list(resp1, resp2, resp3), n = list(n1, n2, n3),
+ studlab = id, data = Linde2015, sm = "OR")
>
> # Early remissions
> pw2 <- pairwise(treat = list(treatment1, treatment2, treatment3),
+ event = list(remi1, remi2, remi3), n = list(n1, n2, n3),
+ studlab = id, data = Linde2015, sm = "OR")
>
> # Define outcome labels
> outcomes <- c("Early_Response", "Early_Remission",
+ "Adverse_events", "Loss_to_follow_up", "Loss_to_follow_up_AE")
>
> # Fit the model combining only the two efficacy outcomes
> # (note, we are using only 10 iterations and 2 burnins to reduce the
> # runtime of the example; in real applications use larger numbers)
> set.seed(1910)
> mvnma(pw1, pw2,
+ reference.group = "Placebo", outclab = outcomes[1:2],
+ n.iter = 10, n.burnin = 2)
module glm loaded
module dic loaded
Compiling model graph
Resolving undeclared variables
Allocating nodes
Graph information:
Observed stochastic nodes: 66
Unobserved stochastic nodes: 19
Total graph size: 1155
Initializing model
Outcome: Early_Response
mean 95%-CI Rhat n.eff
d[Hypericum] 0.7019 [ 0.5317; 0.8836] 1.0051 32
d[Low-dose SARI] 0.4968 [ 0.1448; 0.8842] 1.7056 7
d[NRI] 0.3336 [-0.0320; 0.6822] 1.3557 10
d[NaSSa] 0.0286 [-0.2603; 0.4717] 1.2386 12
d[SNRI] 0.6075 [ 0.3228; 0.7622] 1.0971 32
d[SSRI] 0.5036 [ 0.3406; 0.6187] 1.3800 9
d[TCA] 0.4853 [ 0.3401; 0.6146] 1.9755 6
d[rMAO-A] 0.2290 [-0.0745; 0.5619] 1.8812 6
Outcome: Early_Remission
mean 95%-CI Rhat n.eff
d[Hypericum] 0.6666 [ 0.4430; 0.9303] 1.0896 32
d[Low-dose SARI] 0.5718 [ 0.1695; 1.2443] 1.2365 13
d[NRI] 0.4750 [ 0.1616; 0.9478] 1.3958 10
d[NaSSa] 0.2851 [-0.0327; 0.7263] 1.1326 22
d[SNRI] 0.6516 [ 0.4192; 0.8417] 1.4666 9
d[SSRI] 0.5048 [ 0.3638; 0.6776] 2.3360 5
d[TCA] 0.5186 [ 0.3231; 0.6786] 3.0170 5
d[rMAO-A] 0.3046 [ 0.0229; 0.6260] 1.6204 7
>
>
>
>
>
> cleanEx()
Error: connections left open:
model.code (textConnection)
Execution halted
- checking PDF version of manual ... [20s] OK
- checking HTML version of manual ... [4s] OK
- DONE
Status: 1 ERROR