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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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.