Introduction | Shiny server | Using Shiny locally | In Rstudio | With internet | Without internet

A simple example: coastal tailed frogs | Multiple populations: developmental rates of cabbage beetles | Model sources | References

Overview | Data checks | Model select | Predict phenology | Understanding your results | Visualizing phenology | A note about negative temperatures | References

Introduction | Workflow | Model selection | Compare to predict_phenology() | Using multiple inputs for predict_spawn()

Overview | A simple example | Plotting multiple years | Plotting multiple individual spawning events | References

Bibliography

Overview | Built-in parameterizations | model_table | model_select() | Creating custom models | fit_model() | Fitting models for other fishes | Important considerations | References

Overview | Multiple spawn dates | Looping | Vectorizing | Mapping | Apply | Iterating over multiple variables | Getting usable output | Naming your lists | References

Overview | Example Data | Nested Dataframes | Data Check | Mapping Across Nested Data | References

Overview | Input Data Requirements | Water Temperature Data | Dates and Times | Reading in dates from a file | From strings | From individual components | Time Zones | Importing water temperature data | Using readr::read_csv() | Using read.csv() | Temperature data checks | Visualize your temperature data | Summarize temperature data | Check for continuous data | Species-specific model parameters | Spawn Dates | Next steps | References