climextRemes: Tools for Analyzing Climate Extremes

Functions for fitting GEV and POT (via point process fitting)
models for extremes in climate data, providing return values, return
probabilities, and return periods for stationary and nonstationary models.
Also provides differences in return values and differences in log return
probabilities for contrasts of covariate values. Functions for estimating risk
ratios for event attribution analyses, including uncertainty. Under the hood,
many of the functions use functions from 'extRemes', including for fitting the
statistical models. Details are given in Paciorek, Stone, and Wehner (2018)
 <doi:10.1016/j.wace.2018.01.002>.

R version available from CRAN and Python version from either PyPI or Conda (cascade channel).