CHANGELOG.md

In meantrix/corrP: corrp (Compute correlations type analysis in parallel)

CHANGELOG

0.4.0

New methods

• dcorT_test: Create Correlation Matrix from corrp inferences (C++ wraper).
• C++ methods:
• Astar: Derivate the modified distance covariance statistics.
• dist: Calculate distance matrix.
• bcdcor: Function to calculate bias corrected distance correlation.
• dcort: Function to calculate the t statistic for corrected high dimention distance correlation.
• dcort_test: Function to calculate the t statistic for corrected high dimention distance correlation. Returns a list:
  • method: description of test.
  • statistic: observed value of the test statistic.
  • parameter: degrees of freedom.
  • estimate: (bias corrected) squared distance correlation.
  • p.value: p-value of the t-test.
  • data.name: description of data.

Changes

• corr_fun: Now uses C++ while using distance correlation.

0.3.0

• Added C++ implementations of Average correlation clustering algorithm and the Average Silhouette width;
• acca New function to clustering correlations;
• sil_acca Computes the Average Silhouette width to ACCA clusters;
• best_acca Find the optimal number of ACCA clusters;
• Checks ok.

0.2.0

• Changed package name corrP to corrp ;
• Changelog file created ;
• License file GLP3 created;
• Added new correlations types analysis: pps ; dcor ; mic ; uncoef;
• corrp function output has a new class clist with index matrix and data values;
• corr_fun: New function to calculate correlation type inferences to pair of variables;
• corr_matrix: New function to create correlation matrix ;
• corr_rm: New function to remove highly correlated variables from a data.frame;
• Added verbose param to corrp and corr_fun functions ;
• Added testthat unit tests;
• Checks ok;
• Fixed some bugs in function'sand documentations.

meantrix/corrP documentation built on Oct. 22, 2024, 10:16 a.m.