shinymrp 0.10.0

New features

• Add ICAR model as a prior distribution option (#113)
• Add BYM2 to prior distribution options (#114)

Other changes

• Open Shiny App in browser by default (#110)
• Add a vignette for spatial priors (#111)
• Replace links that block auomated HEAD requests (#112)

shinymrp 0.9.1

Bugfixes

• Fix variable misclassification (#107)

Other changes

• Upgrade to qs2 (#108)
• Minor UI improvements (#109)

shinymrp 0.9.0

New features

• Create package API for implementing MRP workflow in R scripts (#88)
• Allow selection of uncertainty intervals in estimate plots (API only) (#99)
• Allow conversion of dates to month and year indices (#100)

Bugfixes

• Fix non-character label of the button used for linking to ACS data (#87)
• Fix filtering of interactions for structured prior (#96)
• Prevent removal of ‘date’ column during data preprocessing (#97)

Other changes

• Create pkgdown website (#81)
• Change plot y-axis label and select input in “Visualize data” tab (#86)
• Package data are either serialized or store in a separate data repository (#89, #101)
• Move cmdstanr to “Suggests” dependencies (#105)

shinymrp 0.8.0

New features

• Handle continuous outcome measure (#66)

Bugfixes

• Fix incorrect order of levels in demographic distribution and estimate plots (#78)
• Fix model compilation error caused by empty prior input (#77)

shinymrp 0.7.1

Bugfixes

• Fix incorrect estimates caused by level mismatch between sample and poststratification data (#63)
• Fix model compilation errors caused by including multiple varying slopes with the same categorical variable (#58)
• Fix model compilation errors caused by interaction terms involving categorical variables included as fixed effects (#57)
• Bugfix for static LOO-CV table (#59)
• Fix error in “View results” tab caused by switching interface version (#62)
• Fix consecutive model tab removal error (#61)
• Bugfix for poststratification table upload for general time-varying data (#60)

shinymrp 0.7.0

New features

• Upgrade UI to Boostrap 5 standard (#42)
• Add diagnostics sections for model fitting and comparison (#40)
• Add poststratification table upload (#54)
• Add indicator for interface version/use case (#41)
• Add download button for preprocessed data (#46)
• Add back button and update use case description in the homepage ($48)
• Add reference levels in estimated parameter table (#49)

Bugfixes

• Suppress console output from compilation of standalone generated quantities code (#39)
• Fix inconsistent ggplot styling on different machines (#28)
• Prevent crashing when errors occur during LOO-CV (#51)
• Omit interaction between nested variables (#50)

Other changes

• Add documentation about input data requirements to in-app user guide (#31)
• Notify users of the omission of variables with only one level (#29)
• Minor UI improvements (#47)

shinymrp 0.6.0

New features

• Extend ACS-data-linking to county and state (#19)
• Add data linking section to data upload tab (#34)
• Add two new interface versions for general use cases (#35)

Bugfixes

• Fix demographic distribution bar plot error (#27)

Other changes

• Make fit object self-contained by adding preprocessed data, poststratification table, and metadata (#43)
• Change preprocessing code to include all tracts instead of only the ones in the urbanicity and ADI datasets (#24)
• Fix letter casing of graph labels for counties and state (#44)

shinymrp 0.5.0

New features

• Allow users to run poststratification separately (#20)
• Significantly speed up poststratification by running it through Stan (#21)

Bugfixes

• Fix errors thrown by renderPlot when users switch interface version (#25)
• Conditional display of sections in table of estimates (#23)

Other changes

• Speed up fit object uploading and downloading with qs

shinymrp 0.4.0

New features

• Allow fixed effects of categorical variables
• Filter effects compatible with structured prior
• Add prior syntax validation and warning
• Replace Learn > Interface with a popup “Guide” dialog

Bugfixes

• Fix error that occurs when you run model fitting without including any effects
• Change confidence interval of posterior draw summary from 90 to 95

Other changes

• Change variable select input update logic
• Minor UI changes

shinymrp 0.3.1

New features

• Add structure prior for interaction between sex and categorical variables
• Prevent a categorical from being included as both a fixed effect and a varying effect
• Add C++ toolchain checking and CmdStan installation
• Add model comparison to web version

Bugfixes

• Fix arrow of summary HTML element not rendered on Window
• Fix missing covariates when using example individual-level cross-sectional data
• Variable select inputs persist after users navigate to another tab
• Fix error in model comparison tab when users change interface version

Other changes

• Restrict categorical variables to varying effects in model specification
• Explicitly set ggplot font to ensure consistency across platforms
• Update Learn > Interface

shinymrp 0.3.0

New features

• Revamp model specification UI and Stan-code generating backend
• Add interaction terms to model specification
• Add structure prior
• Add random sampling for unseen levels

Other changes

• Prevent users from proceeding to “Analyze” tab without selecting an interface version
• Update default priors
• Update Learn > Interface

shinymrp 0.2.0

New features

• Allow user to save and upload model fits
• Add buttons that allow user to use example data and model fits

Bugfixes

• Fix model ordering in the LOO comparison table

Other changes

• Feedback link takes users to a Google Form instead of GitHub Issue page

shinymrp 0.1.0

Beta release