Search Results for "time series analysis and forecasting" - Page 4
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Showing 124 open source projects for "time series analysis and forecasting"
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GPS Interactive Time Series Analysis
A software for processing and analyzing time series in Earth Science
Along with calculating basic statistics and quality parameters such as mean and variance, the soft-ware is capable of importing and visualizing different standard time series formats, determining and removing jumps and outliers, and makes numerical and publication quality graphical outputs. Bivariate statistical analysis (including correlation coefficient and linear regression) and time series analysis (including auto and cross-spectral analysis, wavelet power spectrum, spectrogram... -
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AnomalyDetection
Anomaly Detection with R
AnomalyDetection is an R package developed by Twitter for detecting anomalies in seasonal univariate time series. It implements the Seasonal Hybrid Extreme Studentized Deviate (S‑H‑ESD) test, which reliably identifies both global and local outliers in data with trends and seasonality—commonly applied to system metrics, engagement data, and business KPIs. -
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BioImageXD - free open source software for analysis, processing and 3D rendering of multi dimensional, multi data channel, time series image data from microscopy and other sources.
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ctsa
A Univariate Time Series Analysis package in ANSI C
CTSA is a C software package for univariate time series analysis. This is a work in progress. ARIMA and Seasonal ARIMA models have been added so far. Other functionality will be added soon . Documentation - https://github.com/rafat/ctsa/wiki -
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DynamicRoots
Software for the Reconstruction and Analysis of Growing Plant Roots
This is a software platform for reconstructing and analyzing the growth of a plant root system from a time-series of 3D shapes. It aligns the shapes with each other, constructs a geometric graph representation together with the function that records the time of growth, and organizes the branches into a hierarchy that reflects the order of creation. The software includes the automatic computation of structural and dynamic traits for each root in the system enabling the quantification of growth... -
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wmtsa-python
Discrete wavelet methods for time series analysis using python
Several python libraries implement discrete wavelet transforms. However, none of them, or at least none that I know, is aimed at scientific use. This library aims at filling this gap, in particular considering discrete wavelet transform as described by Percival and Walden. This module started as translation of the wmtsa Matlab toolbox (http://www.atmos.washington.edu/~wmtsa/), so most naming conventions and most of the code structure follows their choices. The code uses a mix of python and... -
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TIDES
Taylor series Integrator for Differential Equations
... reference) * A. Abad, R. Barrio, F. Blesa, M. Rodriguez, 2011. TIDES tutorial: Integrating ODEs by using the Taylor Series Method., Monografías de la Academia de Ciencias de la Universidad de Zaragoza. 36, pp. 1-116. * R. Barrio, 2005. Performance of the Taylor series method for ODEs/DAEs, Appl. Math. Comput. 163 (2), pp. 525--545 * R. Barrio, 2006. Sensitivity analysis of ODE's/DAE's using the Taylor series method, SIAM J. on Scientific Computing 27 (6), pp. 1929--1947 -
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ExData Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
... handling due to its size of more than 2 million rows and coded missing values. By processing the date and time fields into proper formats, it becomes possible to generate clear time-series plots of energy usage. The repository demonstrates effective exploratory data analysis practices in R with a reproducible workflow for transforming raw data into visual insights. -
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Deem
Analyze time-course data with significance tests, clustering, modeling
Use statistical methods to analyze time-course data (gene expression microarray and RNA-seq data in particular, but not limited to). Apply significance tests to filter out only significant genes or time series. Cluster time series into similar groups. Generate network models, including linear or non-linear models. Variable selection and optimization routines included. Written in Scala and R. The application is a cross-platform desktop app with a simple GUI and is fully functional... -
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Erda
Workflow automation of Thomas networks
This script is supplementary to the article "Time series dependent analysis of unparametrized Thomas networks" and performs the workflow steps described in section 7. -
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phenotemp
phenological trends using NOAA AVHRR time series
Starting from GIMMS values as ascii data (each line will be treated as individual time series), the application can smooth the ts - values by applying different algorithm that are based on Fouriertransformation. Separation of seasonal figure as well as the detection of linear trends is possible. Possible breaks in longterm mean can be detected with a change-point analysis using CuSum algorithms. Phenological events such as start-of-season, day-of-max/day-of-min, end-of-season can be determined... -
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vbTPM
Variational Bayes for tethered particle motion
vbTPM is an analysis package aimed at analyzing time series from a single molecule technique called tethered particle motion, which are common for in vitro investigations of protein-nucleic acid interactions. vbTPM uses a variational approach to hidden Markov models, and resembles recent methods for single molecule FRET (http://vbfret.sourcefore.net/) and single particle tracking (http://vbspt.sourceforge.net/) data. 2014-08-12: NAR manuscript in print! http://dx.doi.org/10.1093/nar... -
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QuantComponents
Free Java components for Quantitative Finance and Algorithmic Trading
An open-source framework for financial time-series analysis and algorithmic trading, based on Java and OSGi, with an Eclipse front-end. * Highly modular: usable as plain java API, OSGi components, or integrated into Eclipse * Standalone or client-server architecture, depending on performance and reliability needs * Integrated with Interactive Brokers through IB Java API * Generic broker API, it can easily be extended to work with other brokers * It works with historical and/or realtime... -
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Bugs
SW for HTP analysis of 3D trajectories of microorganisms
Fortran and shell-level programs originally designed for the analysis of quasi-helical trajectories of Toxoplasma gondii through Matrigel media, acquired by 3D microscopy and digitized by Imaris tracking sw, as published in [TBA]. Key sw components include a singular-value-decomposition (SVD) approach to fitting a modified Fourier series to noisy 3D coordinates measured at irregular time intervals (incorporating cross-validation for determining optimum Fourier order); correction... -
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BioDare
BioDare is Biological Data Repository focused on timeseries data
BioDare (Biological Data Repository) was developed under the multi-site ROBuST project (http://hallidaylab.bio.ed.ac.uk/ROBuST.html) to support data exchange inside the project. It is a web application which allows data-sharing (including public dissemination), data-processing and analysis, with the main focus on time-series data produced in circadian experiments. The main features of BioDare are: - an online repository for experimental data accompanied by extensive metadata... -
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MEGPath
Tool for dose dependant time series microarray analysis
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GeneNetWeaver (GNW) is an open-source tool for in silico benchmark generation and performance profiling of network inference methods. GNW was used to generate the community-wide DREAM3, DREAM4 and DREAM5 In Silico Challenges.
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TSDF
Time-Series Degradation Data Format for Semiconductor Reliability Data
... mechanism, etc.) Based on this data format, software tools such as conversion programs, database management tools, and data analysis tools will be developed and distributed to the user community. Extensions to handle detailed device parameter information, detailed stress waveforms, and semiconductor package information are being planned. -
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EPANET-RTX
The EPANET Real Time Extension
** This project has moved to GitHub. ** ** https://github.com/OpenWaterAnalytics/epanet-rtx ** -
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Statistical models with python using numpy and scipy. Currently covers linear regression (with ordinary, generalized and weighted least squares), robust linear regression, and generalized linear model, discrete models, time series analysis and other statistical methods.
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A MATLAB package for wavelet analysis of circadian rhythms with both discrete (Daubechies) and continuous (Morlet) wavelets, as well as tools for batch processing of multiple time series, all accessible through a graphical user interface.
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A C++ class library specifically designed for data reduction tasks in driving simulation or on-board vehicle data collection.
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MAPT (Mapping and Analysis of Pathways through Time) is a tool for mining information from annotated KEGG pathways which have been colored using PAICE. MAPT is a user-friendly tool for both time-series and single-timepoint dataset analysis, with features such as clustering, visualization and annotation-upload.
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Tidal Analysis Program in PYthon (TAPPY) uses the least squares optimization function from scipy to perform a harmonic analysis (calculate amplitude and phases of a set of sine waves) of a hourly time series of water level values.
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Forecast Production Assistant
Met object database and interactive graphical editor
Meteorologists use the FPA to create a series of weather charts, known as depictions, that show weather fields over a sequence of times. The weather fields can contain grid point data or sets of areas, lines or scattered points. The weather depictions are not just graphical displays, but windows into an object database. By connecting processes to the database, forecast offices can automatically generate forecast products or run local models, while spending more of their time on weather analysis...
