bnma 1.6.0

• Modified reference line for continuous outcome to be at 0 instead of 1 in the network.forest.plot.
• Updated baseline risk section in the vignette.
• Modified network.run function so that the function returns the variables that were tested for convergence using Gelman and Rubin’s diagnostic. Now it returns conv.save which stores the variables tested.

bnma 1.5.1

• Modified contrast.network.run to avoid error.

bnma 1.5.0

• When calculating treatment effect in the natural scale (i.e. absolute treatment effect coded T in JAGS code), added option to specify covariate/baseline risk that treatment effect should be calculated at.

bnma 1.4.0

• Added different treatment comparisons for RR, RD, and NNT
• Added Treat.order variable in ume model
• Revised the function network.leverage.plot to include per arm contributions
• Added a plot that compares posterior mean deviance of inconsistency model and consistency model
• When fitting meta regression on baseline risk, made adjustments when the baseline treatment is not the control treatment in each trial (i.e. by adding a fictitious row).

bnma 1.3.0

• Added finding absolute treatment effect in binomial and normal outcomes
• Added RNG.inits in the network.run function for reproducibility

bnma 1.2.0

• Added modeling baseline risk and covariate effects when fitting a fixed effects model
• Modified code for network.forest.plot that allows plotting only the comparison with the reference treatment and fixed labeling issue

bnma 1.1.2

• Added number needed to treat

bnma 1.1.1

• Updated vignette and added description section

bnma 1.1.0

• Added an extension to calculate relative risk and risk difference (using odds ratio and estimated placebo event rate) when the outcome is binomial

bnma 1.0.0

• Added a NEWS.md file to track changes to the package.