simmr 0.5.1

• Fixed bug introduced in 0.5.0 affecting the prior distribution on the residual standard deviation
• Added extra argument to simmr_mcmc and simmr_mcmc_tdf to enable more control on the prior distribution on the residual standard deviation

simmr 0.5.0

• Implemented new Fixed Form Variational Bayes method for fitting SIMMs (publication forthcoming)
• Added new GGally matrix plots

simmr 0.4.6

• Implemented vdiffr for better checking of output plots
• Added capture.output to remove verbose testing
• Added feature to allow for >2 sources to combined in combine_sources
• Added ability to use data in matrix, data frame, or tibble format without error
• Changed the way prior_viz object is plotted and returned to allow for greater customisation
• Improved test that to test for bad source mean and sd shapes
• Added a new vignette on advanced plotting (and moved other parts out of main vignette)

simmr 0.4.5

• Updated new checkmate error checking for multiple functions
• Added new tests for 90%+ code coverage
• Fixed a bug that stopped some plots being outputted correctly
• Fixed some broken examples

simmr 0.4.4

• Updated the simmr_elicit function to provide a more explicit warning for bad input objects
• Updated compare_sources and compare_groups to allow exporting of the plot object for editing purposes
• Used styler to correct code style

simmr 0.4.3

• Fixed a bug in combine_sources that stopped it working for multiple groups
• Added in a load more tests to increase code coverage
• Implemented checkmate for error checking in simmr_load

simmr 0.4.2

• Fixed a bug with the summary function which was always reporting the same group when an individual group was specified (didn’t apply to multiple group summaries). Added a test for that bug.
• Updated posterior_predictive to produce some more helpful output

simmr 0.4.1

• Fixed some major bugs to plot.simmr_output and compare_groups which caused the wrong groups to be selected
• Fixed a minor dependency bug as no longer using coda

simmr 0.4.0

• Included prior_viz to visualise and contrast the prior and posterior distributions
• Included posterior_posterior_predictive to visualise model fit using bayesplot
• Added simmr_mcmc_tdf to estimate trophic discrimination factors for known diet studies
• Updated simmr_mcmc to use R2jags