Logistic Regression Java Algorithm
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DTREG v.10. 3. 2003
You can use decision tree based methods including TreeBoost and Decision Tree Forests as well as Neural Networks, Support Vector Machine, Gene Expression Programming and Symbolic Regression, K-Means Clustering, Linear Discriminant Analysis, Linear Regression ...
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CORExpress v.0.1
Regression modeling is undergoing a revolution precipitated by the availability of hundreds and even thousands of candidate predictor variables in genomics, but increasingly vast amounts of data are becoming available in all other fields as well. Problems ...
WINKS, Windows KWIKSTAT v.4.80a
Basic analyses available in WINKS include Descriptive statistics and graphs, calculation of p-values, T-tests and Analysis of Variance (ANOVA)up to 20 groups, including paired and repeated measures, Non-parametric analyses including Mann-Whitney, and Kruskal-Wallis, and Friedman's test, Frequency and Crosstabulation including Goodness of fit, McNemar's test, Chi-square, Fisher exact, Relative Risk, and Odds Ratio, Regression and Correlation, ...
Multifactor Dimensionality Reduction v.2.0 Beta 8.4
MDR is a nonparametric alternative to logistic regression for detecting and characterizing nonlinear interactions.Requirements:
* Java ...
ProStat v.5.50.00101
- easy to learn, easy to use with step-by-step guided tutorial lessons
- a wide range of statistical techniques
- data interpolation and regression
- experimental model builder
- multiple regression and stepwise regression
...
WorkSheet Manager v.1.0
The Worksheet Manager is a powerful utility that allows you to list all open Excel workbooks, display all worksheets and chart sheets in a selected workbook and quickly select a worksheet or chart sheet of interest. To access, click SigmaXL > Worksheet ...
AcaStat Universal v.8.1.9 Build 1371
Analyze raw data and summary statistics such as counts, means, and proportions Correlation, OLS and Logistic regression
8. Random sampling
9. Diagnostic Accuracy ...
AcaStat Windows v.8.1.5
Features --------------------------- > Import/Export comma and tab delimited text files > Filter observations and use control variables > Split large data files > Format variable and value labels, set missing values > Compute, combine, and recode variables > Save, print > Analyze raw data and summary statistics such as counts, means, and proportions Statistics --------------------------- > Frequencies > Descriptives > t-tests and ANOVA > Chi-square and association measures > Correlation, OLS and Logistic regression > Random ...
AcaStat for Mac OS X 8.1.9 B1371 v.1371
Get AcaStat Universal and take it for a spin to see what it can actually do for you! FEATURES: TE Import/Export comma and tab delimited text files TE Filter observations and use control variables TE Split large data files TE Format variable and value labels, set missing values TE Compute, combine, and recode variables TE Save, print TE Analyze raw data and summary statistics such as counts, means, and proportions Correlation, OLS and Logistic regression TE ...
AcaStat 8.1.9 B1371 v.1371
Get AcaStat Universal and take it for a spin to see what it can actually do for you! FEATURES: TE Import/Export comma and tab delimited text files TE Filter observations and use control variables TE Split large data files TE Format variable and value labels, set missing values TE Compute, combine, and recode variables TE Save, print TE Analyze raw data and summary statistics such as counts, means, and proportions Correlation, OLS and Logistic regression TE ...
AcaStat Mac v.8.3.10
Features:
> Import/Export comma and tab delimited text files
> Filter observations and use control variables
> Split large data files
> Format variable and value labels, set missing values
> Compute, combine, and recode variables
> Save, print
> Analyze raw data and summary statistics such as counts, means, and proportions
Statistics:
> Frequencies
> Descriptives
> t-tests and ANOVA
> Chi-square and association measures
> Correlation, OLS and Logistic regression
> ...
Java Genetic Algorithm Library v.0.8.1.0
An object oriented library of an Genetic Algorithm, implemented in Java. Clear separation of the several concepts of the algorithm, e.g. Gene, Chromosome, Genotype, Phenotype, Population and Fitness Function. The fitness calculation is parallelized.
Darwin: Evolutionary Computation in Java v.2.3.01
Darwin 2: Java Framework for Evolutionary Computation (genetic algorithm, GA). A true framework with out-of-the-box functionality and extensibility of all classes. Interface-based pattern with dependency-injection to configure components.
JAGA - Java API for Genetic Algorithms v.1.0.b.13.04.04
Java API for implementing any kind of Genetic Algorithm and Genetic Programming applications quickly and easily. Contains a wide range of ready-to-use GA and GP algorithms and operators to be plugged-in or extended. Includes Tutorials and Examples.