Provides statistical tools for analyzing weather patterns, temperature
anomalies, and climate risk. Implements Markov regime-switching jump diffusion (MRJD)
models to capture abrupt shifts, extreme weather events, and structural breaks in
environmental time series data. Estimates model parameters using maximum likelihood
estimation and offers utility functions for simulating regime-dependent stochastic
processes. The regime-switching methodology is based on Hamilton (1989) "Analysis of
Time Series Subject to Changes in Regime"