NXG Logic Explorer
NXG Logic Explorer is a Windows-based machine learning package designed for data analytics, predictive analytics, unsupervised class discovery, supervised class prediction, and simulation. It enhances productivity by reducing the time required for various procedures, enabling users to identify novel patterns in exploratory datasets and perform hypothesis testing, simulations, and text mining to extract meaningful insights. Key features include automatic de-stringing of messy Excel input files, parallel feature analysis for generating summary statistics, Shapiro-Wilk tests, histograms, and count frequencies for multiple continuous and categorical variables. It allows simultaneous execution of ANOVA, Welch ANOVA, chi-squared, and Bartlett's tests on multiple variables, and automatically generates multivariable linear, logistic, and Cox proportional hazards regression models based on a default p-value criterion for filtering from univariate models.
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Quark Analytics
In secure and manageable environment the user can quickly extract insights from data. You can gather the data through several formats and data types; create new variables; transform and select the cases of interest! You can examine and analyze data through proper data analysis for numerical and categorical variables. Check the results in a table or graphical manner. Explore the relationships between variables. Test the significance of the relationship. Correlations (Pearson, Spearman), Chi-Square tests, T-Test for independent Samples, Mann-Whitney, Anova, Kruskal-Wallis, and much more. You can easily select and calculate the most commonly measures of scale reliability. Test if the Dimensions on your data are consistent. Use Measures such as Cronbach Alpha Raw & Standardized, if item deleted, Guttman’s six, Intraclass correlation coefficients (ICC), and much more.
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Oriana
Oriana for Windows calculates the special forms of sample and inter-sample statistics required for circular data (e.g. angles or directions measured in degrees, time of day, day of the week, the month of the year, etc.). The analyses include basic statistics such as mean vector and confidence limits, single sample distribution tests like Rayleigh's, pairwise and multisample tests such as Watson-Williams F-Test and chi-squared test, and pairwise correlations. It also graphs your data in a variety of ways, including rose diagrams, circular histograms or wind roses, allowing you to easily demonstrate patterns. Are you working with directional data measured in degrees? Perhaps your research involves looking at patterns in the time of day of events, or things that occur in weekly, monthly or yearly cycles. These are circular data and they require special types of statistics. If you want to analyse this type of data, then Oriana is just what you need.
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Predictive Suite
Automated variable selection identifies key variables & variable interactions. Insightful visualization of data and model dynamics. Execution of batch commands. SQL queries and dataset browsing. Pre & post-processing for creating variables, constraining outputs, etc. Models easily deployed via ActiveX (i.e., OCX) controls or DLLs. Powerful modeling algorithms include regression, neural networks, self-organizing maps, dynamic clustering, decision trees, fuzzy logic, genetic algorithms. Predictive Dynamix provides computational intelligence software for forecasting, predictive modeling, pattern recognition, classification, and optimization applications, across all industries. Modern neural network technology are powerful computational structure for solving difficult problems involving forecasting and pattern recognition. Multi-layer perceptron neural networks have an architecture that allows multiple coefficients per input variable.
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