We are thrilled to announce the release of RMC-BestFit Version 2.0 Beta! This major update brings powerful new features designed to enhance time series analysis and modeling capabilities. Key enhancements include:
- Expanded Data Import: Import time series data directly from USGS and GHCN platforms, streamlining the creation of block maximum or peaks-over-threshold series for comprehensive analysis.
- Advanced Hypothesis Testing: Conduct rigorous hypothesis tests on time series data to identify trends, nonstationarity, and other statistical patterns.
- Measurement Error Integration: Incorporate measurement error into analyses for enhanced accuracy and reliability in results.
- Additional Probability Distributions: Access a wider selection of probability distributions to better fit diverse datasets and hydrological conditions.
- Nonstationary Flood Frequency Analysis: Model evolving flood frequency patterns over time to gain valuable insights for risk assessment and management.
- Improved Prior Distributions: Set parameter and quantile priors from 10 distribution options. Users can also apply Jeffreys’ Rule for Scale parameters, providing a superior noninformative prior and enabling compatibility with other Bayesian software, such as FLIKE®.
- Complex Modeling Techniques: Utilize mixture models, competing risks, and model averaging to address complex hydrological phenomena and improve model performance.
- Dependency Modeling with Bivariate Copulas: Capture the dependence structure between hydrological variables for a deeper understanding of your data.
With these powerful enhancements, RMC-BestFit 2.0 significantly broadens its capabilities, equipping users to tackle a wider array of hydrological challenges with greater precision and confidence.