NEWS

crossnma, version 1.1.0 (2023-05-08)

More effect measures implemented, i.e., risk ratio (sm = “RR”), mean difference (“MD”) and standardised mean difference (“SMD”)
Behaviour of print.crossnma() and print.summary.crossnma() switched (to be in line with other print and print.summary functions in R)

crossnma.model():
- fix an error in computing ‘cov.ref’ for network meta-regression with only IPDs or ADs (not both)

crossnma.model():
- new argument ‘sm’ to specify the effect measure
- new argument ‘se’ to specify standard error for aggregated data with continuous outcome
- replace list argument ‘prior’ with arguments ‘prior.tau.trt’, ‘prior.tau.reg0’, ‘prior.tau.regb’, ‘prior.tau.regw’, ‘prior.tau.bias’, ‘prior.pi.low.rct’, ‘prior.pi.high.rct’, ‘prior.pi.low.nrs’, ‘prior.pi.high.nrs’
- replace list argument ‘run.nrs’ with arguments ‘run.nrs.var.infl’, ‘run.nrs.mean.shift’, ‘run.nrs.n.adapt’, ‘run.nrs.trt.effect’, ‘run.nrs.n.iter’, ‘run.nrs.n.burnin’, ‘run.nrs.n.thin’, ‘run.nrs.n.chains’
crossnma.model(), crossnma(), summary.crossnma():
- new argument ‘level.ma’ to specify the level for credible intervals
crossnma(), crossnma.model(), heatplot.crossnma(), league.crossnma(), print.crossnma(), summary.crossnma()
- new argument ‘backtransf’
heatplot.crossnma(), league.crossnma(), summary.crossnma()
- argument ‘order’ replaced by ‘seq’
- argument ‘exp’ replaced by ‘backtransf’

crossnma.model():
- R function settings.meta() from meta package can be used to specify the default for arguments ‘level.ma’ and ‘backtransf’
print.crossnma(), print.summary.crossnma(), league.crossnma():
- R function settings.meta() from meta package can be used to specify the default for argument ‘digits’
R function heatplot() renamed to heatplot.crossnma() which relies on generic function heatplot() from R package netmeta
heatplot.crossnma():
- R function settings.meta() from meta package can be used to specify the default for argument ‘digits’
New auxiliary functions from meta package:
- chklevel(), deprecated2(), formatN(), formatCI(), rmSpace(), is.wholenumber()
New auxiliary function crossnma.model2pairwise()