Search Results for "multiple linear regression" - Page 6
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Showing 167 open source projects for "multiple linear regression"
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...MultiTrans is an efficient and accurate multiple testing correction approach for linear mixed models. Our method performs a unique transformation of genotype data to account for genetic relatedness and heritability under linear mixed models, as well as to efficiently utilize the multivariate normal distribution.
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SEPTA Next Bus
Prediction API for Septa buses
Use SEPTA bus gps data to ultimately determine when a bus will reach a certain stop. -
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# ASPI Kit - Adaptive Identification and Control Software This software is under development by the ASPICC group. Its purpose is to allow users to learn and experiment the use of Neural Networks (NN's) and related Computational Intelligence algorithms on their own data. Users can upload their own data and experiment with various algorithms of various setups to see how the algorithms performs on their data. Users can also investigate and familiarize themselves with the Python code of...
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Data visualization tool
scientific data visualization, time history, scatter plots, spectral
View/plot/graph scientific data such as time history, scatter plots, PSD, Bode, Flight track, tephigram, linear regression (single and multi variate). Playback was developed for aerospace and atmospheric research environment and as such support plotting specifically for these disciplines but it is by no means limited to these and contains many generalized plotting and data visualization capabilities. Playback uses GTK2 and compiles under Linux. -
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Adaptive Gaussian Filtering
Machine learning with Gaussian kernels.
Libagf is a machine learning library that includes adaptive kernel density estimators using Gaussian kernels and k-nearest neighbours. Operations include statistical classification, interpolation/non-linear regression and pdf estimation. For statistical classification there is a borders training feature for creating fast and general pre-trained models that nonetheless return the conditional probabilities. Libagf also includes clustering algorithms as well as comparison and validation routines. It is written in C++. -
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SCaVis
Scientific Computation and Visualization Environment
...The program is fully multiplatform (100% Java) and integrated with Java and a number of scripting languages: Jython (Python), Groovy, JRuby, BeanShell. SCaVis can be used to plot functions and data in 2D and 3D, perform statistical tests, data mining, numeric computations, function minimization, linear algebra, solving systems of linear and differential equations. Linear, non-linear and symbolic regression are also available. Elements of symbolic computations using Octave/Matlab scripting are supported. The project was migrated to DataMelt. -
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JLWR
Java Locally weighted regression (JLWR)
Locally weighted regression (LWR) is a variation of the standard linear regression technique in which training points close to the query point have more influence over the fitted regression surface. Given a set of training points, linear regression ts the linear model that minimizes squared prediction error over the whole training set. source on git :https://github.com/ahrnazemi/jlwr This implicitly assumes that we know the global form of the underlying function that generated the data. -
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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 and periodicities) form the main analysis features of the software. -
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LWPR
Locally Weighted Projection Regression (LWPR)
Locally Weighted Projection Regression (LWPR) is a fully incremental, online algorithm for non-linear function approximation in high dimensional spaces, capable of handling redundant and irrelevant input dimensions. At its core, it uses locally linear models, spanned by a small number of univariate regressions in selected directions in input space. A locally weighted variant of Partial Least Squares (PLS) is employed for doing the dimensionality reduction. -
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JChart2D
jchart2d is a real-time charting library written in java.
JChart2D is a easy to use component for displaying two- dimensional traces in a coordinate system written in Java. It supports real-time (animated) charting, custom trace rendering, Multithreading, viewports, automatic scaling and labels. Former UI controls (right click context menu, file menu) have been ported to the subproject jchart2d-uimenu (https://sourceforge.net/projects/jchart2d-uimenu.jchart2d.p/) for the benefit of having no dependencies to 3rd party libraries. -
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SCOREMATH
Excel function for multi-criteria selection problems
SCOREMATH implements the simple-yet-ingenious weighted linear model for multi-criteria selection problems described in Ng, Wan Lung. "An efficient and simple model for multiple criteria supplier selection problem." European Journal of Operational Research 186, no. 3 (2008): 1059-1067. "There are many real situations where the decision makers are able to tell the criteria importance ranking (although they cannot tell the exact values of weights). -
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miRNA Temporal Analyzer (mirnaTA)
Differential expression analysis tool for miRNAs in temporal studies
The microRNA Temporal Analyzer (mirnaTA) is a bioinformatics tool which can be used to identify differentially expressed miRNAs in temporal studies. It is implemented in Perl and R package (>= 2.13.0) and can be run across multiple platforms such as Linux, Mac and Windows. The mirnaTA requires that users provide data from a minimum of two time points and analyze up to 20 time points. To normalize data and remove technical variability, Normal Quantile Transformation (NQT) was used, and the normalized data is analyzed using linear regression model to locate any miRNAs which are differentially expressed in a linear manner. ... -
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cpR Chemical Pathology interface for R
A graphical user interface to R for use in Clinical Chemistry
This project is a graphical user interface to the R statistical programming language designed for use in Clinical Chemistry. It allows the user to perform Passing Bablok, Deming and Linear Regression and to produce high quality images in any file format for publication. The front end is written in Python 3.3 and PyQt4 and the form was designed using Qt4 Designer. The statistical analysis is written in R. The compiled binary was made with cx_freeze. This software is free and open-source. It is released under the GNU Public license and comes with absolutely no warranty. -
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fusie
Fuzzy scala inference engine
Rewriting from Java to Scala and improving my university project on course Artifical Intelligence Systems. About project in russian: http://brunneng.blogspot.com/2013/06/fuzzy-scala-inference-engine-fusie.html Can be used from maven: <dependency> <groupId>net.sf.brunneng.fusie</groupId> <artifactId>fusie</artifactId> <version>0.8.1</version> </dependency> -
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phcfM
R package for modelling anthropogenic deforestation
...It was named after the REDD+ pilot-project 'programme holistique de conservation des forêts à Madagascar'. phcfM includes two main functions: (i) demography(), to model the population growth with time in a hierarchical Bayesian framework using population census data and Gaussian linear mixed models and (ii) deforestation(), to model the deforestation process in a hierarchical Bayesian framework using land-cover change data and Binomial logistic regression models with variable time-intervals between land-cover observations. The two functions use embedded Gibbs samplers written in C++ with the Scythe statistical library to reduce computational time. -
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Parallel GENSENG is a parallel implementation of the GENSENG software for detecting copy number variations from high-throughput sequencing data. This software runs exactly as the original code does, except that it utilizes multiple threads where possible. OpenMP was used for multi-threading so changes to the original code were minimal. For a demo, please download the sample data linked to below and follow the README from the tarball. Example read count...
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FineSplice
Enhanced splice junction detection and estimation from RNA-Seq data
...Following alignment with TopHat2 using known transcript annotations, FineSplice takes as input the resulting BAM file and outputs a confident set of expressed splice junctions with the corresponding read counts. Potential false positives arising from spurious alignments are filtered out via a semi-supervised anomaly detection strategy based on logistic regression. Multiple mapping reads with a unique location after filtering are rescued and reallocated to the most reliable candidate location. FineSplice requires Python 2.x (>= 2.6) with the following modules installed: pysam (http://code.google.com/p/pysam/) and scikit-learn (http://scikit-learn.org/). For further details check out our publication: Nucl. ... -
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Fast Matrix for Java
General purpose matrix utilities for Java in Parallel Computing
Fast Matrix for Java (fm4j) is a general-purpose matrix utility library for computing with dense matrices. fm4j encapsulated different underlying implementations and select the optimal one in run-time depending on the size of the input matrix. Moreover, fm4j employs Java (Tm) Concurrency to take advantage of the computation power of multi-cor processors. -
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Statistics modules in Perl Data Language, with a quick-start guide for non-PDL people. They make the PDL shell work like R, but with PDL threading (fast automatic iteration) of procedures including t-test, linear regression, and k-means clustering.
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math toolkit
A C++ and Python library for finance, statistics and linear algebra.
A lightweight C++ and Python library for finance, statistics and linear algebra. Finance features include compound rate present/future value, annuity, various present/future value coefficients ... Statistics features include mean, median, variance, standard deviation, covariance, correlation, linear regression, probabilities and random variates of various distributions ... Linear algebra features include matrix arithmetic, inverse, determinant, rank, linear system solution, lu/qr decomposition, svd, eigen values/vectors ... ... -
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The MPACK project is providing a multiple precision arithmetic version of linear algebra package, similar to the BLAS and LAPACK.
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SysLinea
Linear Systems; Linear Regression; Non Linear Regression
Solves Linear Systems From a table it gives the function for Linear and Non Linear Regression. Precompiled for Linux and Windows. No instalations, just unpack (.zip) and click on the executable, can be run from a memory stick. ATENTION! On linux, sometimes the copy is not settled right, try to right click -> properties -> allow to be executed as a program. -
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libfgen
Library for optimization using a genetic algorithm or particle swarms
libfgen is a library that implements an efficient and customizable genetic algorithm (GA). It also provides particle swarm optimization (PSO) functionality and an interface for real-valued function minimization or model fitting. It is written in C, but can also be compiled with a C++ compiler. Both Linux and Windows are supported. -
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CLIIQ
Accurate Comparative Detection and Quantification of Expressed Isoform
CLIIQ is a computational method for simultaneous identification and quantification of expressed isoforms from multiple samples in a population. Given the RNA-seq mapping results and gene annotation, CLIIQ reports the list of expressed isoforms in the sample(s) by solving the ILP (Integer Linear Program) problems. Before the wiki page is back, please check http://www.sfu.ca/~yenyil/cliiq.html for instructions for installation and execution of CLIIQ. -
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Linear Regression
linear regression along with plotting
Linear regression with plotting facility for simple and 2d regression. linear_regression.c is the main file and Include the library lib_sim_eq.c. You must have installed gnuplot prior to compiling the program.
