Showing 7 of total 7 results (show query)
spencerm89
hysteresis:Tools for Modeling Rate-Dependent Hysteretic Processes and Ellipses
Fit, summarize and plot sinusoidal hysteretic processes using: two-step simple harmonic least squares, ellipse-specific non-linear least squares, the direct method, geometric least squares or linear least squares. See Yang, F and A. Parkhurst, "Efficient Estimation of Elliptical Hysteresis with Application to the Characterization of Heat Stress" <DOI:10.1007/s13253-015-0213-6>.
Maintained by Spencer Maynes. Last updated 1 years ago.
68.1 match 1 stars 2.98 score 19 scripts
zejiang-unsw
WASP:Wavelet System Prediction
The wavelet-based variance transformation method is used for system modelling and prediction. It refines predictor spectral representation using Wavelet Theory, which leads to improved model specifications and prediction accuracy. Details of methodologies used in the package can be found in Jiang, Z., Sharma, A., & Johnson, F. (2020) <doi:10.1029/2019WR026962>, Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020) <doi:10.1016/j.envsoft.2020.104907>, and Jiang, Z., Sharma, A., & Johnson, F. (2021) <doi:10.1016/J.JHYDROL.2021.126816>.
Maintained by Ze Jiang. Last updated 8 months ago.
predictiontransformationwavelet
5.5 match 9 stars 6.41 score 19 scripts
daandejongen
hystar:Fit the Hysteretic Threshold Autoregressive Model
Estimate parameters of the hysteretic threshold autoregressive (HysTAR) model, using conditional least squares. In addition, you can generate time series data from the HysTAR model. For details, see Li, Guan, Li and Yu (2015) <doi:10.1093/biomet/asv017>.
Maintained by Daan de Jong. Last updated 1 years ago.
autoregressionestimationhysteresissimulationstatisticsthresholdtime-series-analysiscpp
10.0 match 2.70 score 3 scriptszejiang-unsw
synthesis:Generate Synthetic Data from Statistical Models
Generate synthetic time series from commonly used statistical models, including linear, nonlinear and chaotic systems. Applications to testing methods can be found in Jiang, Z., Sharma, A., & Johnson, F. (2019) <doi:10.1016/j.advwatres.2019.103430> and Jiang, Z., Sharma, A., & Johnson, F. (2020) <doi:10.1029/2019WR026962> associated with an open-source tool by Jiang, Z., Rashid, M. M., Johnson, F., & Sharma, A. (2020) <doi:10.1016/j.envsoft.2020.104907>.
Maintained by Ze Jiang. Last updated 9 months ago.
3.3 match 3 stars 4.56 score 12 scripts
uzh-peg
microxanox:Oxic-Anoxic Regime Shifts in Microbial Communities
Model to simulate a three functional group system with four chemical substrates using a set of ordinary differential equations. Simulations can be run individually or over a parameter range, to find stable states. The model features multiple species per functional group, where the number is only limited by computational constraints. The R package is constructed in such a way, that the results contain the input parameter used, so that a saved results can be loaded again and thesimulation be repeated.
Maintained by Owen L. Petchey. Last updated 1 years ago.
3.0 match 3.85 score 35 scripts
cran
PUPMSI:Moisture Sorption Isotherm Modeling Program
Contains sixteen moisture sorption isotherm models, which evaluate the fitness of adsorption and desorption curves for further understanding of the relationship between moisture content and water activity. Fitness evaluation is conducted through parameter estimation and error analysis. Moreover, graphical representation, hysteresis area estimation, and isotherm classification through the equation of Blahovec & Yanniotis (2009) <doi:10.1016/j.jfoodeng.2008.08.007> which is based on the classification system introduced by Brunauer et. al. (1940) <doi:10.1021/ja01864a025> are also included for the visualization of models and hysteresis.
Maintained by Chester Deocaris. Last updated 3 years ago.
2.6 match 1.00 score
centreforhydrology
HGDMr:Hysteretic and Gatekeeping Depressions Model
Implementation of the Hysteretic and Gatekeeping Depressions Model (HGDM) which calculates variable connected/contributing areas and resulting discharge volumes in prairie basins dominated by depressions ("slough" or "potholes"). The small depressions are combined into a single "meta" depression which explicitly models the hysteresis between the storage of water and the connected/contributing areas of the depressions. The largest (greater than 5% of the total depressional area) depression (if it exists) is represented separately to model its gatekeeping, i.e. the blocking of upstream flows until it is filled. The methodolgy is described in detail in Shook and Pomeroy (2025, <doi:10.1016/j.jhydrol.2025.132821>).
Maintained by Kevin Shook. Last updated 24 days ago.
0.5 match 4.00 score