Nothing

- 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.

- 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).

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

- 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

- Added number needed to treat

- Updated vignette and added description section

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

- Added a
`NEWS.md`

file to track changes to the package.

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