DCCA - Detrended Fluctuation and Detrended Cross-Correlation Analysis
A collection of functions to perform Detrended Fluctuation Analysis (DFA) and Detrended Cross-Correlation Analysis (DCCA). This package implements the results presented in Prass, T.S. and Pumi, G. (2019). "On the behavior of the DFA and DCCA in trend-stationary processes" <arXiv:1910.10589>.
Last updated 5 years ago
fortranopenblas
2.48 score 1 dependents 6 scripts 146 downloadsBTSR - Bounded Time Series Regression
Simulate, estimate and forecast a wide range of regression based dynamic models for bounded time series, covering the most commonly applied models in the literature. The main calculations are done in 'FORTRAN', which translates into very fast algorithms. The main references are Bayer et al. (2017) <doi:10.1016/j.jhydrol.2017.10.006>, Pumi et al. (2019) <doi:10.1016/j.jspi.2018.10.001>, Pumi et al. (2021) <doi:10.1111/sjos.12439> and Pumi et al. (2022) <arXiv:2211.02097>.
Last updated 1 years ago
fortranopenblas
1.00 score 1 stars 3 scripts 670 downloadsPPMiss - Copula-Based Estimator for Long-Range Dependent Processes under Missing Data
Implements the copula-based estimator for univariate long-range dependent processes, introduced in Pumi et al. (2023) <doi:10.1007/s00362-023-01418-z>. Notably, this estimator is capable of handling missing data and has been shown to perform exceptionally well, even when up to 70% of data is missing (as reported in <arXiv:2303.04754>) and has been found to outperform several other commonly applied estimators.
Last updated 1 years ago
fortran
1.00 score 178 downloadsPTSR - Positive Time Series Regression
A collection of functions to simulate, estimate and forecast a wide range of regression based dynamic models for positive time series. This package implements the results presented in Prass, T.S.; Carlos, J.H.; Taufemback, C.G. and Pumi, G. (2022). "Positive Time Series Regression" <arXiv:2201.03667>.
Last updated 3 years ago
1.00 score 256 downloads