Search Results for "robust"

...Markov switching models (MSAR), also known as Hidden Markov Models (HMM). Vector autoregressive models, VAR and structural VAR. Vector error correction model, VECM. Robust linear models with support for several M-estimators. statsmodels supports specifying models using R-style formulas and pandas DataFrames.

...This makes it particularly suited for applications involving geospatial data, such as mapping, spatial indexing, and geographic information systems (GIS). The library provides a robust mathematical framework for spherical geometry, allowing developers to work with polygons, points, and regions on the Earth’s surface using consistent and precise algorithms. Unlike traditional 2D geometry libraries, S2 ensures accuracy over large scales by modeling the globe directly, avoiding distortions caused by map projections. ...

...But, the *algorithm* itself is significantly simpler and has "essentially no parameters". 4.) MSFFT, implemented by David Lawlor and Bosu Choi. This code is fast, but is not terribly easy to use. The algorithm is robust to some noise, but requires a lot of parameter tuning. Enjoy at your own risk :), Mark Iwen

Fast implementation of multiple precision arithmetics using expansions as described in Shewchuk, J. R.. "Adaptive precision floating-point arithmetic and fast robust geometric predicates." Discrete & Computational Geometry 18.3 (1997): 305-363..

The JTS Topology Suite is an API for modelling and manipulating 2-dimensional linear geometry. It provides numerous geometric predicates and functions. JTS conforms to the Simple Features Specification for SQL published by the Open GIS Consortium.

RPy is a very simple, yet robust, Python interface to the R Programming Language. It can manage all kinds of R objects and can execute arbitrary R functions (including the graphic functions).

A free, industrial quality library for simulating articulated rigid body dynamics - for example ground vehicles, legged creatures, and moving objects in VR environments. It's fast, flexible & robust. Built-in collision detection.

cvsba is an OpenCV wrapper for the well-known Sparse Bundle Adjustment library (sba) by M. Lourakis. The main features are: - Based on sba-1.6, one of the most popular and robust bundle adjustment implementation, which is extensively used and tested by the community - sba installation is not needed since it is included in cvsba - New CMake structure which makes the library compilation, installation and linkage easier - Similar interface than Bundle Adjustment implementation on cv::LevMarqSparse::bundleAdjust() - Include examples to test the library on synthetically generated data - GPL licence

The Robust Correlation Toolbox is a free collection of Matlab functions allowing to visualize data in univariate and bivariate space, check assumptions of normality and homoscedasticity and compute Pearson's and Spearman's, percentage bend, and skipped correlations with bootstrapped confidence intervals - see http://www.frontiersin.org/Quantitative_Psychology_and_Measurement/10.3389/fpsyg.2012.00606/full -- code moved to https://github.com/CPernet/robustcorrtool

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.

C++ template headers for linear algebra manipulations. These are designed for ease of use in writing human readable code. Follows a similar syntax to MATLAB.

Guanxi is a robust analysis and simulation application for Social Network Analysts. Guanxi allows researchers in the field to create, import, and export an endless array of networks, analyze their structure, and run custom dynamics over them.

This project provides a JAVA library and a graphical user interface which implement the "FastICA" algorithm based on the paper "Fast and Robust Fixed-Point Algorithms for Independent Component Analysis (ICA)" by Aapo Hyvärinen.

GTS provides a set of useful functions to deal with 3D surfaces meshed with interconnected triangles including collision detection, multiresolution models, constrained Delaunay triangulations and robust set operations (union, intersection, differences).

Interval Analysis is a collection of interval analysis tools, allowing for robust root-finding and tracking of bounds of numerical error due to uncertain inputs and floating-point error.

Java Math Library (JML) is a fairly robust mathematics library that can be used for anything from basic calculations to some more advanced mathematical functions.

To create a robust scientific calculator that consists of a backend that can be used on the console, and to build a GUI frontend to be used as part of the Math Magic project.