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ecustwy's Projects

rsenal icon rsenal

magic R functions for things various

rsghb icon rsghb

Functions for Hierarchical Bayesian Estimation: A Flexible Approach

salib icon salib

Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.

satut icon satut

Tutorials for Sensitivity Analysis using SALib

schism icon schism

Semi-implicit Cross-scale Hydroscience Integrated System Model (SCHISM)

scikit-opt icon scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

seddom-sfm icon seddom-sfm

Sediment Flux Model with Dissolved Organic Matter intermediate state variable

semecotutorial icon semecotutorial

Tutorial for using piecewiseSEM with bird data for manuscript entitled "Nature versus nurture: Structural equation modeling indicates that parental care does not mitigate consequences of poor environmental conditions"

sem_book icon sem_book

An Introduction to Structural Equation Modeling

ser icon ser

Short-period Environmental Regime

skillmetricstoolbox icon skillmetricstoolbox

This toolbox contains a collection of Matlab functions for calculating the skill of model predictions against observations.

smcde icon smcde

An R package described in our manuscript ``Adaptive semiparametric Bayesian differential equations via sequential Monte Carlo methods

smoothssf icon smoothssf

Fit step selection functions with non-linear and random effects in mgcv.

spead icon spead

Code and data for the phytoplankton community model SPEAD (Simulating Plankton Evolution with Adaptive Dynamics)

stan icon stan

Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.

superflexpy icon superflexpy

SuperflexPy: The flexible language of hydrological modelling

swatplus-automatic-workflow icon swatplus-automatic-workflow

This software uses a config file (config.py), which is a settings file, to build and run SWAT+ models. Users can share the config along with their published works to promote transparency as all model options are well documented in the file. Sharing the namelist and data also allows others to reproduce the models from scratch.

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