Applications like SAS

Applications like SAS

16:15 18 August in SAS
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List of application like SAS

Here we are going see list of applications which can use for Statistical Analysis like SAS. Among these applications SAS is the best Statistical Analysis software because of its efficiency, User friendly interface . Before going to take SAS training you need to know about these software’s

image describe statistical analysis

  • Weka (machine learning)– a suite of machine learning software written at the University of Waikato

 

  • Torch (machine learning)– a deep learning software library written in Lua (programming language)

 

  • Statistical Lab– R-based and focusing on educational purposes

 

  • Stan (software)– open-source package for obtaining Bayesian inference using the No-U-Turn sampler, a variant of Hamiltonian Monte Carlo. It’s somewhat like BUGS, but with a different language for expressing models and a different sampler for sampling from their posteriors

 

  • SOFA Statistics– desktop GUI program focused on ease of use, learn as you go, and beautiful output

 

  • Shogun (toolbox)– open-source, large-scale machine learning toolbox that provides several SVM (Support Vector Machine) implementations (like libSVM, SVMlight) under a common framework and interfaces to Octave, MATLAB, Python, R

 

  • Simfit– simulation, curve fitting, statistics, and plotting

 

  • SOCR

 

  • SciPy– Python library for scientific computing that contains the stats sub-package which is partly based on the venerable |STAT (a.k.a. PipeStat, formerly UNIX|STAT) software

 

  • Scikit-learn – extends SciPy with a host of machine learning models (classification, clustering, regression)

 

  • statsmodels – extends SciPy with statistical models and tests (regression, plotting,sample datasets, generalized linear model (GLM), time series analysis, autoregressive–moving-model (ARMA), vector autoregression (VAR), non-parametric statistics, ANOVA, empirical    likelihood)     

                             

  • SAS – Statistical Analytics System

 

  • Salstat– menu-driven statistics software

 

  • Scilab– uses GPL-compatible CeCILL license

 

  • ROOT– an open-source C++ system for data storage, processing and analysis, developed by CERN and used to find the Higgs boson

 

  • R– free implementation of the S (programming language)

 

  • Programming with Big Data in R(pbdR) – a series of R packages enhanced by SPMD parallelism for big data analysis

 

  • R Commander– GUI interface for R

 

  • Rattle GUI– GUI interface for R

 

  • Revolution Analytics– production-grade software for the enterprise big data analytics

 

  • RStudio– GUI interface and development environment for R

 

  • Pandas –  High-performance computing (HPC) data structures and data analysis tools for Python in Python and Cython (statsmodels, scikit-learn)

 

  • Perl Data Language –  Scientific computing with Perl

 

  • Ploticus –  software for generating a variety of graphs from raw data

 

  • PSPP –  A free software alternative to IBM SPSS Statistics

 

  • OpenBUGS

 

  • OpenEpi –  A web-based, open-source, operating-independent series of programs for use in epidemiology and statistics based on JavaScript and HTML

 

  • OpenNN –  A software library written in the programming language C++ which implements neural networks, a main area of deep learning research

 

  • OpenMx  – A package for structural equation modeling running in R (programming language

 

  • Orange – a data mining, machine learning, and bioinformaticssoftware

 

  • JASP –  A free software alternative to IBM SPSS Statistics with additional option for Bayesian methods

 

  • Just another Gibbs sampler(JAGS)  –  a program for analyzing Bayesian hierarchical models using Markov chain Monte Carlo developed by Martyn Plummer. It is similar to WinBUGS

 

  • JMulTi –  For econometric analysis, specialised in univariate and multivariate time series analysis

 

  • LIBSVM –  C++ support vector machine libraries

 

  • MLPACK (C++ library) –  open-source library for machine learning, exploits C++ language features to provide maximum performance and flexibility while providing a simple and consistent application programming interface (API)

 

  • Mondrian –  data analysis tool using interactive statistical graphics with a link to R

 

  • Neurophysiological Biomarker Toolbox  – Matlab toolbox for data-mining of neurophysiological biomarkers

 

  • ADaMSoft –  a generalized statistical software with data mining algorithms and methods for data management

 

  • ADMB –  a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation

 

  • Bayesian Filtering Library

 

  • Chronux– for neurobiological time series data

 

  • DataMelt(DMelt) – Java-based statistical analysis framework for scientists and engineers. It includes an IDE

 

  • DAP– free replacement for SAS

 

  • Environment for DeveLoping KDD – Applications Supported by Index-Structures(ELKI) a software framework for developing data mining algorithms in Java

 

  • Fityk– nonlinear regression software (GUI and command line)

 

  • GNU Octave– programming language very similar to MATLAB with statistical features

 

  • gretl –  gnu regression, econometrics and time-series library

 

  • Intrinsic Noise Analyzer(iNA)  –  For analyzing intrinsic fluctuations in biochemical systems

 

Now large number of organizations uses SAS for their analytics. Its a suitable time to enter IT Industry with SAS training. We provide best SAS training in chennai, SAS corporate training and SAS online training with placement assitance.

Mail : boundtechsolutions@gmail.com

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