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Table 5 Software used with Bayesian joint models

From: Bayesian joint modelling of longitudinal and time to event data: a methodological review

SoftwareNumber of articles (%)Reference
WinBUGS21(35.6%)[13, 15, 17, 22, 23, 27, 33, 37, 41, 42, 44, 48, 51, 56, 57, 61, 66, 67, 77, 78, 80]
OpenBUGS2(3.4%)[31, 82]
BUGS language1(1.7%)[30]
R5(8.5%)[39, 60, 68, 71, 72]
R (interface to WinBUGS)10(16.9%)[19, 35, 42, 50, 53, 54, 59, 69, 70, 79]
R (interface to OpenBUGS)1(1.7%)[36]
R (interface to JAGS)1(1.7%)[84]
R and JAGS2(3.4%)[45, 46]
R and Matlab1(1.7%)[34]
R and WinBUGS1(1.7%)[29]
JAGS3(5%)[24, 26, 49]
Stan6(10%)[43, 73, 74, 81, 85, 87]
Matlab1(1.7%)[28]
C language3(5.1%)[25, 40, 52]
Fortran1(1.7%)[83]