Search Results for "multivariate analysis"

The Multivariate Regression Composer, a Matlab toolbox. It generates a regression model of the optimal structure. Uses the source data set, the initial models and the primitive functions.

***** THIS PROJECT HAS MOVED TO https://gitlab.in2p3.fr/sirocco/sdap/sdap-dev ***** ***** THIS PROJECT HAS MOVED TO https://gitlab.in2p3.fr/sirocco/sdap/sdap-dev ***** ***** THIS PROJECT HAS MOVED TO https://gitlab.in2p3.fr/sirocco/sdap/sdap-dev ***** Within the SIROCCO suite of numerical tools, the purpose of SDAP is to provide a flexible platform to carry out multivariate assimilation of geophysical data in a numerical model. The program is multi-grid (finite differences or finite elements), multi-algebra (plug-in analysis kernels), multi-model (simple standardized interface). The program supports reduced-order data assimilation methods, as well as Ensemble assimilation approaches such as the Ensemble Kalman Filter. ...

The new site is at http://psychometricon.net/libirt/ Library of functions to estimate the items and abilities from the responses of subjects to a questionnaire. The IRT models supported are the logistic model, the multivariate logistic model, the graded model and smoothing by penalization and kernel.

Something simpler than R and focused on visualization of multivariate float datasets. Developed mostly for my personal use, but can't exclude the possibility that it will be useful for someone else.

*** This is an archive only, please see https://github.com/ANTsX for this and other ANTsX tools *** Image registration with variable transformations (elastic, diffeomorphic, diffeomorphisms, unbiased) and similarity metrics (landmarks, cross-correlation, mutual information, etc). Image segmentation with priors & nonparametric, multivariate models. *** Current ANTs code, binaries (Mac, Windows, Linux) and support is hosted at Github *** https://github.com/ANTsX/ANTs Docker...

TMVA is a ROOT-integrated toolkit for multivariate classification and regression analysis. TMVA performs the training, testing and performance evaluation of a large variety of multivariate methods. Since 2013, TMVA has been fully integrated with ROOT and is distributed as part of it. The new homepage of TMVA is https://root.cern

A univariate and multivariate analysis UI. This project is no longer under development. Please use as you wish.

JMulTi is an interactive software designed for univariate and multivariate time series analysis. It has a Java graphical user interface that uses an external engine for statistical computations. It uses the framework JStatCom.

JMulTiR is an econometrics package designed for univariate and multivariate time series analysis. The numerical computations and graphics are done in R (www.r-project.org), the GUI is programmed in Java Swing with the jstatcom framework.

The package implements a variety of tools for categorization of multivariate data such as boosted decision trees, bagging and random forest, bump hunting (PRIM), a multi-class learner and others.

This project focuses on developing geo-visual analytic (GVA) approaches (including both visual and computational methods) to explore spatio-temporal and multivariate patterns (STAMP).

MASQOT-GUI is an open-source, platform-independent application for two-channel microarray spot quality control. Included is a set of tools for gridding, segmentation, quantification, multivariate spot quality assessment and data visualization.

PROJECT IS BEING DEVELOPED UNDER A DIFFERENT NAME: Please visit http://sourceforge.net/projects/modelbuilder/ Datamodeler gives scientists and engineers the possiblity to find any multivariate model for any dataset, how complex or large both may be.

The R package to be built aims at implementing what I did in a few scripts for the preparation of the papers I published in CaGEO and TGIS (see below). Basically this is related to the computation of the distribution of k co-occurrences of spatial events (generalising the contiguity distributions - 2 co-occurrences at distance 0) to derive spatial clustering statistics (mainly using the Shannon entropy, then called the k-spatial entropy) and methods linked to this: SOOk, SelSOOk (see caGEO...