portalcasting v0.35.0

Updating model controls

• time
• response with type and link

Developing evaluate

• evaluate_casts and evaluate_cast currently just placeholders

portalcasting v0.34.0

Removing tmp sub

• No longer used, internal R code (e.g., tempdir) provides needed functionality
• Also removing clear_tmp and cleanup arg in settings

portalcasting v0.33.0

setup_production defaults to verbose = TRUE

• Facilitates fuller log

portalcasting v0.32.0

Relocation of prefab controls

• Moved from source code scripts to .yaml files in inst/extdata
• read_ and write_ functions for both rodent and model controls lists

Updating / rectifying terminology

• "data_set" -> "dataset"

portalcasting v0.31.0

tidying documentation
fixing test bug

portalcasting v0.30.0

Settings list

• setup_dir now takes a settings argument that is a list of the arguments
• directory_settings function now quickly and cleanly collapses the settings that go into setup_dir

Generalized functionality for models and rodent data sets

• Control lists are now structured for use with do.call

Codebase formatting [work in progress]

• No longer concerned about the 80 char line limit
• Long argument lists, etc. are now formatted for quick top-to-bottom reading, via alignment on the ( and =

Removal of superfluous _path functions

• Use of base R functions is sufficient

arg_checks removed

• Internalized auto-checking relieves user of need to dictate checking

Temporary removal of "adding a model and data" vignette

• Need to update with new API
• Also need to add alt-text to all images

portalcasting v0.29.0

Patch bline bug

• Argument needed to be removed still

portalcasting v0.28.0

messageq

• Function redesigned to align with message directly argument for argument with the addition of the quiet argument.
• Now allows for multiple message arguments via ... that become pasted together

Removal of specialized message functions

• Minimize unnecessary functions

portalcasting v0.27.0

Simplified directory creation function pipeline

• Now just create_dir

v0.26.0

jags_logistic model added

• invoked as jags_logistic like jags_RW, applied to DM controls dataset.
• Building upon the jags_RW model, jags_logistic expands upon the "process model" underlying the Poisson observations.
• There are four process parameters: mu (the density of the species at the beginning of the time series) and tau (the precision (inverse variance) of the random walk, which is Gaussian on the log scale) for the starting value and r (growth rate) and K (carrying capacity) of the dynamic population. The observation model has no additional parameters.