v0.1.1
ScoreDrivenModels v0.1.1
Closed issues:
- Add Beta with 3 parameters (#54)
- Benchmarks should not be on the estimation. (#56)
- Add interface to choose time_varying_params based on their types (#59)
- Add Student's t distribution (#67)
- Improve Distributions documentation (#75)
- Add tests for forecasting and simulation (#82)
- Fix link documentation (#91)
- Improve fitting prints (#92)
- Verbose 0 should not print the rounds in the fit method (#96)
Merged pull requests:
- Install TagBot as a GitHub Action (#68) (@JuliaTagBot)
- Fix forecast and change from seed to initial_point in the optimization context (#69) (@guilhermebodin)
- Better docs (#70) (@guilhermebodin)
- Add some docs and adjust forecast methods (#72) (@guilhermebodin)
- Add Exponential distribution (#74) (@guilhermebodin)
- Improve examples (#76) (@raphaelsaavedra)
- Add LogitNormal distribution (#77) (@guilhermebodin)
- Add Chi Squared distribution (#78) (@guilhermebodin)
- Bump dependencies (#79) (@raphaelsaavedra)
- Add Chi distribution (#80) (@guilhermebodin)
- Fix error methods (#81) (@raphaelsaavedra)
- Add simulation test (#83) (@raphaelsaavedra)
- Improve distribution tests (#85) (@guilhermebodin)
- Fix returns and add tests for commun interface (#86) (@guilhermebodin)
- Add location scale student t distribution (#87) (@guilhermebodin)
- Add TDist (#88) (@guilhermebodin)
- Add beta location scale and dont cheat at tests (#89) (@guilhermebodin)
- Add table with distributions and docs for common interface (#90) (@guilhermebodin)
- Improve estimation prints (#93) (@guilhermebodin)
- fix omega print (#95) (@guilhermebodin)
- Fitted quantiles and SDMForecast (#98) (@guilhermebodin)
- Add negative binomial distribution (#99) (@guilhermebodin)
- Add parameters forecast (#100) (@guilhermebodin)
- Fix exponent in docs (#102) (@raphaelsaavedra)
- Add installation and citation to readme (#103) (@raphaelsaavedra)
- Update docs to match readme (#104) (@raphaelsaavedra)
- Minor improvements to docs (#105) (@raphaelsaavedra)