=== 0.4.0 / 2009-09-10 * New Distribution module, based on statistics2.rb by Shin-ichiro HARA. Replaces all instances of GSL distributions pdf and cdf calculations for native calculation. * New Maximum Likehood Estimation for Logit, Probit and Normal Distribution using Von Tessin(2005) algorithm. See MLE class and subclasses for more information. * New Binomial regression subclasses (Logit and Probit), usign MLE class * Added tests for gsl, Distribution, MLE and Logit * Bug fix on svggraph.rb. Added check_type for scale graphics * Bug fix on gdchart. Replaced old Nominal, Ordinal and Scale for Vector === 0.3.4 / 2009-08-21 * Works with statsample-optimization 2.0.0 * Vector doesn't uses delegation. All methods are part of Vector * Added Combination. Generates all combination of n elements taken r at a time * Bivariate#prop_pearson now can uses as a second parameter :both, :left, :right, :positive or :negative * Added LICENSE.txt === 0.3.3 / 2009-08-11 * Added i18n support. For now, only spanish translation available * Bug fix: Test now load libraries on ../lib path * Excel and CSV importers automatically modify type of vector to Scale when all data are numbers or nils values === 0.3.2 / 2009-08-04 * Added Regression::Multiple::GslEngine * Added setup.rb * Crosstab#row_label and #column_name * DominanceAnalysis and DominanceAnalysisBootstrap uses Dataset#labels for Vector names. === 0.3.1 / 2009-08-03 * Name and logic of Regression classes changed. Now, you have Regression::Simple class and Regression::Multiple module with two engines: RubyEngine and AlglibEngne * New Crosstab#summary === 0.3.0 / 2009-08-02 * Statsample renamed to Statsample * Optimization extension goes to another gem: ruby-statsample-optimization === 0.2.0 / 2009-08-01 * One Way Anova on Statsample::Anova::OneWay * Dominance Analysis!!!! The one and only reason to develop a Multiple Regression on pure ruby. * Multiple Regression on Multiple Regression module. Pairwise (pure ruby) or MultipleRegressionPairwise and Listwise (optimized) on MultipleRegressionAlglib and * New Dataset#to_gsl_matrix, #from_to,#[..],#bootstrap,#vector_missing_values, #vector_count_characters, #each_with_index, #collect_with_index * New Vector#box_cox_transformation * Module Correlation renamed to Bivariate * Some fancy methods and classes to create Summaries * Some documentation about Algorithm used on doc_latex * Deleted 'distributions' extension. Ruby/GSL has all the pdf and cdf you ever need. * Tests work without any dependency. Only nags about missing deps. * Test for MultipleRegression, Anova, Excel, Bivariate.correlation_matrix and many others === 0.1.9 / 2009-05-22 * Class Vector: new method vector_standarized_pop, []=, min,max * Class Dataset: global variable $RUBY_SS_ROW stores the row number on each() and related methods. dup() with argument returns a copy of the dataset only for given fields. New methods: standarize, vector_mean, collect, verify,collect_matrix * Module Correlation: new methods covariance, t_pearson, t_r, prop_pearson, covariance_matrix, correlation_matrix, correlation_probability_matrix * Module SRS: New methods estimation_n0 and estimation_n * Module Reliability: new ItemCharacteristicCurve class * New HtmlReport class * New experimental SPSS Class. * Converters: Module CSV with new options. Added write() method for GGobi module * New Mx exporter (http://www.vcu.edu/mx/) * Class SimpleRegression: new methods standard error * Added tests for regression and reliability, Vector#vector_mean, Dataset#dup (partial) and Dataset#verify === 0.1.8 / 2008-12-10 * Added Regression and Reliability modules * Class Vector: added methods vector_standarized, recode, inspect, ranked * Class Dataset: added methods vector_by_calculation, vector_sum, filter_field * Module Correlation: added methods like spearman, point biserial and tau-b * Added tests for Vector#ranked, Vector#vector_standarized, Vector#sum_of_squared_deviation, Dataset#vector_by_calculation, Dataset#vector_sum, Dataset#filter_field and various test for Correlation module * Added demos: item_analysis and sample_test === 0.1.7 / 2008-10-1 * New module for codification * ... === 0.1.6 / 2008-09-26 * New modules for SRS and stratified sampling * Statsample::Database for read and write onto databases. You could use Database and CSV on-tandem for mass-editing and reimport of databases === 0.1.5 / 2008-08-29 * New extension statsampleopt for optimizing some functions on Statsample submodules * New submodules Correlation and Test === 0.1.4 / 2008-08-27 * New extension, with cdf functions for chi-square, t, gamma and normal distributions. Based on dcdflib (http://www.netlib.org/random/) Also, has a function to calculate the tail for a noncentral T distribution === 0.1.3 / 2008-08-22 * Operational versions of Vector, Dataset, Crosstab and Resample * Read and write CSV files * Calculate chi-square for 2 matrixes === 0.1.1 - 0.1.2 / 2008-08-18 * Included several methods on Ruby::Type classes * Organized dirs with sow === 0.1.0 / 2008-08-12 * First version.