Major updates

• New article on how to parameterize for non-fish organisms (#65).
• New article with examples of using predict_spawn().
• New predict_spawn() takes event and back calculates spawn time (#46).
• New article for launching Shiny app (#45).

Minor updates

• Fix url with mark up elements.
• Fix tests for ggplot object class (#61).
• Fix output labels in predict_phenology() (#58).
• In predict_phenology() output, changed dev.period to dev_period (#50).
• Fix secondary y-axis in plot_phenology() (#43).
• Fix Austin et al ref in Shiny app deployment (#42).
• Add @pfrater and @allisonswartz as a contributors.

This is the initial CRAN release of hatchR (v0.3.2).

hatchR is a package for predicting hatch and emergence timing for a wide range of wild fishes using the effective value framework (Sparks et al., (2019) DOI:10.1139/cjfas-2017-0468). 'hatchR' offers users access to established phenological models and the flexibility to incorporate custom parameterizations using external datasets. The package includes functions for model selection, phenology prediction, and visualization. In addition to the functions listed below, there are three main improvements to the package:

• Added unit tests.
• Added missing dependencies.
• General bug fixes and types.
• Refined output.

Key functions

• plot_check_temp()
• check_continuous()
• summarize_temp()
• model_select()
• fit_model()
• plot_phenology()
• predict_pehnology()

What's Changed

• Model_select and predict_phenology tweaks by @efelts-usfws in #1
• delete test.MD by @morgan-sparks in #2
• fix predict_phenology NaN problem by @morgan-sparks in #3
• Isaak data #5
• Fx cleaning #6
• Unit tests #7

New Contributors

• @efelts-usfws made their first contribution in #1
• @morgan-sparks made their first contribution in #2