v0.1.7

What's Changed

• Dev 0.17 bump by @Martin-Jung in #151

New features

• Implementation of small ensemble of models for linear engines (add_control_esm()) #141

Minor improvements and bug fixes

• Raise informative error if bias layer has negative values. #148
• Update engine_xgboost() to work with latest development build and remove [pdp] as dependency #149
• Improvement of document grammar and readability. Few more vignette examples based on latest development.
• 🐛 Fixing of engine_inlabru() to work with latest version #150 #145
• 🐛 Fixes to add_control_bias() to have it working again.
• 🐛 Refactor code to avoid importing namespaces #95

Full Changelog: v0.1.6...v0.1.7

v0.1.6

What's Changed

This PR integrates a series of refactors and enhancements to improve messaging, error handling, and background creation across multiple engine and class files, and it adds support for data.frame predictors.

• Centralizes creation of background rasters via create_background(x) to reduce duplication.
• Replaces stop()/warning() calls with cli::cli_abort() and cli::cli_alert_warning() for consistent messaging.
• Adds support for data.frame predictors and expands documentation for predictor processing.

Full Changelog: v0.1.5...v0.1.6

v0.1.5

What's Changed in version 0.1.5

New features
New visualization function nicheplot() to visualize suitability across 2 axes #87.
Support for 'modal' value calculations in ensemble().
Support for 'superlearner' in ensemble().
Support for 'kmeans' derived threshold calculation in threshold() and predictor_derivate().
Support for future processing streamlined. See FAQ section for instructions #18.

Minor improvements and bug fixes
Now overwriting temporary data by default in predictor_transform() and similar functions.
Minor 🐛 fix related to misaligned thresholds and negative exponential kernels.
🔥 🐛 fix for scenario projections that use different grain sizes than for inference.

Full Changelog: v0.1.4...v0.1.5

v0.1.4

What's Changed

• Improved factor handling by @mhesselbarth in #128
• Version bump by @Martin-Jung in #132

Full Changelog: v0.1.3...v0.1.4

v0.1.3

What's Changed

• Cln docs by @mhesselbarth in #85
• Changing class and objects to R6 throughout by @Martin-Jung in #88
• Updating master with dev by @Martin-Jung in #97
• Master back to dev by @Martin-Jung in #98
• Merge back so as that commit history is identical by @Martin-Jung in #99
• Merge pull request #99 from iiasa/dev by @Martin-Jung in #100
• Fix clamp by @jeffreyhanson in #103
• Adding engine_scampr to the package by @Martin-Jung in #107
• Prior fixes by @mhesselbarth in #112
• Merging scenario fixes #113, threshold constraints and dispersal corrections by @Martin-Jung in #114
• project for method_integration = "predictor" by @mhesselbarth in #119
• Dev to master for 0.1.3 version bump by @Martin-Jung in #126

New Contributors

• @jeffreyhanson made their first contribution in #103

Full Changelog: v0.1.1...v0.1.3

Version 0.1.1

What's Changed

• Merging 0.1 dev branch to main by @Martin-Jung in #79
• Before christmas version push by @Martin-Jung in #83

Full Changelog: v0.0.9...v0.1.1

v0.0.9

What's Changed

Full Changelog: v0.0.7...v0.0.9

Version 0.0.7

What's Changed

• Update to version 0.0.5 (#53) by @Martin-Jung in #54
• Small bugfix related to ensemble and min/max of terra by @mhesselbarth in #55
• Dev by @Martin-Jung in #59
• Merge version 0.0.7 in by @Martin-Jung in #61

Full Changelog: v0.0.6...v0.0.7

Version 0.0.6

What's Changed

• Dev by @Martin-Jung in #58

Full Changelog: v0.0.5...v0.0.6

Version 0.0.5

What's Changed

• See Changelog. Most critical change is the transition from raster to terra throughout. If this new version breaks your established code, use the old one.

Details:

• Fix check by @mhesselbarth in #42
• Fix check by @mhesselbarth in #43
• Merge terra branch into dev by @Martin-Jung in #49
• Update to version 0.0.5 by @Martin-Jung in #53

Full Changelog: v0.0.3...v0.0.5