v0.0.2

Minor changes

• Simplify inputs in helper functions, don't create a vector, just use in function call.

• Use {vcr} for tests involving weather data fetching.

Bug fixes

• Correct issue where {dplyr} library was not loaded in vignette, causing example to error when run.

v0.0.1

epicrop 0.0.1

• First stable release on GitHub.

• Fixes function title formatting.

• Replaces outdated {tidyverse} functions found in vignettes with modern versions.

v0.0.9018

• Remove chirps functionality to simplify package structure.

v0.0.917

epicrop 0.0.0.9017

• Update README R output.

• Polish map output in the mapping vignette.

• Polish names for figure in multiple locations figure.

• Remove references and functionality called from epifitter; AUDPC is calculated internally now.

v0.0.9016

epicrop 0.0.0.9016

Minor changes

• Change audpc to AUDPC for easier graphing.

• Add new vignette to demonstrate mapping AUDPC values using lat/lon from model output.

v0.0.0.9015

Includes changes for epicrop 0.0.0.9015 and epicrop 0.0.0.9014

epicrop 0.0.0.9015

Minor changes

• Add area under the disease progress curve (AUDPC) values to model output.

• Adds shorthand versions of functions for:

  • predict_bacterial_blight() > predict_bb()
  • predict_brown_spot() > predict_bs()
  • predict_leaf_blast() > predict_lb()
  • predict_sheath_blight() > predict_sb()

Bug fixes

• Fixes bug when that caused a failure fetching CHIRPS weather data.

epicrop 0.0.0.9014

Minor changes

• Check user inputs for H0 and I0 to ensure that they are >= 0.

• 100% complete test coverage.

• The final data.frame created from vectors of state values in SEIR() is simplified into one step, creating a named data.table rather than create a data.table and then naming cols.

v0.0.0.9013

epicrop 0.0.0.9013

Bug fixes

• Fixes a bug introduced into SEIR() with the last round of bug fixes.
  The calculations for latent and infectious sites were still calculating for the next, not current, day in the for() loop.

• Corrects values in the example for SEIR() to run the model for brown spot.

Minor changes

• Updates input values for Rc curves in each of the EPIRICE models such that the values used to compute the curve are all supplied, none are computed before the interpolation is performed.
  This leads to longer, but clearer lines of code.

• All of the help files now reference NASA POWER and CHIRPS both as sources of possible weather data for use in the model.

v0.0.0.9012

epicrop 0.0.0.9012

Bug fixes

• Fixes bug in SEIR() where Rc value was calculated incorrectly that was introduced with commit r-forge/cropsim@ba093b2#diff-17fd120d02f173b87db7e09b563e2057b95391bef823eee29cbff30cb3d80287. See Lines 124:126 that were changed to Lines 118:120 where

Rc[day+1] <- baseRc * AFGen(ageRc, day) * AFGen(tmpRc, wthsub$tavg[day+1]) * RHCoef[day+1]

should have been

Rc[day+1] <- baseRc * AFGen(ageRc, day+1) * AFGen(tmpRc, wthsub$tavg[day+1]) * RHCoef[day+1]

to calculate the basic infection rate, Rc, for day + 1. Commit: 248df5512b5897e950dd58a0a8b3fd57922add47.

• Fixes typos in RcA values for predict_bacterial_blight() and predict_sheath_blight().
  • In predict_bacterial_blight() the eighth entry was improperly encoded as 0.42, it has been corrected to 0.41, commit 8b2c36b61d4f949385dcac4c03ff435b8400e335.
  • In predict_sheath_blight() the seventh entry was improperly encoded as 0.83, it has been corrected to 0.84, Commit: 69b89ce24dd41c16d4627225c028355f76a64b80.

Major changes

• Implements a new function to calculate the correction values for crop age, RcA, and temperature, RcT, using approx() in a custom function that is faster than the select_mod_value() function.

• Implements new functionality for get_wth() to optionally get data from the CHIRPS/CHIRTS APIs in addition to the default NASA POWER API.

• Uses one-indexed for() loop, in place of the zero-indexed for() loop found in cropsim.

v0.0.0.9010-1

epicrop 0.0.0.9010-1

Minor changes

• Fixes issue in vignettes with duplicate titles and plot theming.

v0.0.0.9010

epicrop 0.0.0.9010

Major changes

• BREAKING CHANGE intensity column, in SEIR() is now a proportion, i.e. values range between 0 - 1.
  If you wish to have the same values as previously reported, df$intensity*100 will give you these values.

• BREAKING CHANGE Removes column, severity, in SEIR() output.

• Adds a new vignette illustrating how to run multiple simulations and use parallel processing to reduce run time for these simulations.