Function reference • phenor

All functions
`AGSI()`	Accumulated growing season index model
`AICc()`	Calculates AICc values
`AT()`	Alternating model as defined in Basler et al. 2016 (Agr. For. Meteorlogy)
`CDD()`	Chilling Degree Day (CDD) adapted from Jeong & Medvigny 2014 (Global Ecology & Biogeography)
`CU()`	CU chilling degree model
`DP()`	DormPhot model as defined in Caffarra, Donnelly and Chuine 2011 (Clim. Res.) parameter ranges are taken from Basler et al. 2016
`DU()`	DU drought model
`GRP()`	Thermal Time grassland pollen model
`LIN()`	Linear model
`M1()`	M1 model
`M1s()`	M1s model
`PA()`	Parallel model
`PAb()`	Parallel model
`PM1()`	Parallel M1 model
`PM1b()`	Parallel M1 model
`PTT()`	PhotoThermal Time model
`PTTs()`	PhotoThermal Time model
`SGSI()`	Standard growing season index model
`SM1()`	Sequential model (M1 variant)
`SM1b()`	Sequential model (M1 variant)
`SQ()`	Sequential model
`SQb()`	Sequential model
`TT()`	Thermal Time model
`TTs()`	Thermal Time model
`UM1()`	Unified M1 model
`UN()`	Unified model
`check_npn_phenophases()`	Checks if USA-NPN phenophase exists
`check_npn_species()`	Checks if USA-NPN species exists
`check_pep725_species()`	Checks if PEP725 species name or number exists or can be generated
`cvmae()`	Coefficient of Variation of the Mean Absolute Error
`daylength()`	Calculate daylength values
`likelihood()`	Log likelihood cost function for model optimization
`null()`	Null model
`outlier_detection()`	Outlier detection of transition dates
`phenocam_DB`	phenocam_DB
`phenocam_DB_autumn`	phenocam_DB_autumn
`phenocam_EN`	phenocam_EN
`phenocam_GR`	phenocam_GR
`plot(<pr_fit>)`	Plotting method for fit model output
`pr_calc_land_cover()`	Calculates land cover density
`pr_calc_temp_sens()`	Calculates the temperature sensitivity of a model (and parameters)
`pr_cross_validate()`	Model cross valiadation
`pr_dl_be()`	Download Berkeley Earth Gridded mean daily temperature data
`pr_dl_cmip()`	Download Global CMIP6 driver data
`pr_dl_era5()`	Download Global ERA5 (land) driver data
`pr_dl_npn()`	Download USA-NPN data using the API interface
`pr_dl_pep725()`	Download PEP725 data
`pr_fit()`	Fit a single phenology model
`pr_fit_comparison()`	Fit multiple models for comparison
`pr_fit_parameters()`	Fit parameters of a phenology model to validation data
`pr_flatten()`	Generates a flattened 'phenor' data file
`pr_fm_be()`	Formatting of Berkeley Earth Gridded temperature data
`pr_fm_cmip()`	Formatting CMIP6 data
`pr_fm_csv()`	Formatting of CSV based data
`pr_fm_daymet_tiles()`	Formatting Daymet tiled data
`pr_fm_era5()`	Formatting ERA5 data
`pr_fm_gee()`	Formatting GEE data
`pr_fm_modis()`	Format MODIS MCD12Q2 phenology data
`pr_fm_npn()`	Formatting USA-NPN data
`pr_fm_pep725()`	Formatting PEP725 data
`pr_fm_phenocam()`	Format PhenoCam data
`pr_fm_subset()`	Subset formatted phenor data
`pr_merge_pep725()`	Merge PEP725 data files
`pr_parameters()`	Read parameter boundary values
`pr_plot_arrows()`	Generates an arrow plot
`pr_plot_comparison()`	Model comparison plotting routine to faciliate model development and quick comparisons of the skill of various models. Add your model to the list in your branch or fork to make this work with novel model formulations.
`pr_predict()`	Predicts phenophases
`rmse()`	Root Mean Squared Error cost function for model optimization.
`rotate_cmip()`	Rotate CMIP NetCDF data cubes
`shape_model_output()`	Shapes model output
`summary(<pr_fit>)`	Print summary values for fit model output
`triangular_temperature_response()`	Triangular temperature response function

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