Philentropy - v0.8.0

Version 0.8.0

Updates

Fixing warning on Debian systems: Result: WARN Found the following significant warnings: RcppExports.cpp:865:18: warning: format string is not a string literal (potentially insecure) [-Wformat-security] RcppExports.cpp:899:18: warning: format string is not a string literal (potentially insecure) [-Wformat-security] RcppExports.cpp:933:18: warning: format string is not a string literal (potentially insecure) [-Wformat-security] RcppExports.cpp:967:18: warning: format string is not a string literal (potentially insecure) [-Wformat-security] See ‘/home/hornik/tmp/R.check/r-devel-clang/Work/PKGS/philentropy.Rcheck/00install.out’ for details. * used C++ compiler: ‘Debian clang version 17.0.5 (1)’ - The solution was to implement this quick fix by reinstalling Rcpp v1.0.11.6 via devtools::install_github("https://github.com/RcppCore/Rcpp") and rerun Rcpp::compileAttributes().

Scientific Software - Peer-reviewed - R
Published by HajkD about 2 years ago

Philentropy - v0.7.0

Updates

• the Distances vignette now has a fixed documentation for the benchmarking of low-level distance functions. Many thanks to (@Nowosad) #30
• in ../src/correlation.h adjustment of use of logical operators rather than Wbitwise (| -> or) which otherwises raises warnings in clang14
• vector element limit is now extended to long vectors for all distance measures by declaring Rxlent instead of int during indexing.

Scientific Software - Peer-reviewed - R
Published by HajkD over 3 years ago

Philentropy - Update Release

Version 0.6.0

New Features

• distance() and all other individual information theory functions receive a new argument epsilon with default value epsilon = 0.00001 to treat cases where in individual distance or similarity computations yield x / 0 or 0 / 0. Instead of a hard coded epsilon, users can now set epsilon according to their input vectors. (Many thanks to Joshua McNeill #26 for this great question).
• three new functions dist_one_one(), dist_one_many(), dist_many_many() are added. They are fairly flexible intermediaries between distance() and single distance functions. dist_one_one() expects two vectors (probability density functions) and returns a single value. dist_one_many() expects one vector (a probability density function) and one matrix (a set of probability density functions), and returns a vector of values. dist_many_many() expects two matrices (two sets of probability density functions), and returns a matrix of values. (Many thanks to Jakub Nowosad, see #27, #28, and New Vignette Many_Distance)

Updates

• a new Vignette Comparing many probability density functions (Many thanks to Jakub Nowosad)
• dplyr package dependency was removed and replaced by the poorman due to the heavy dependency burden of dplyr, since philentropy only used dplyr::between() which is now poorman::between() (Many thanks to Patrice Kiener for this suggestion)
• distance(..., as.dist.obj = TRUE) now returns the same values as stats::dist() when working with 2 dimensional input matrices (2 vector inputs) (see #29) (Many thanks to Jakub Nowosad (@Nowosad)) Example:

```r library(philentropy)

m1 = matrix(c(1, 2), ncol = 1)

dist(m1)

> 1

> 2 1

distance(m1, as.dist.obj = TRUE)

> Metric: 'euclidean'; comparing: 2 vectors.

> 1

> 2 1

```

Scientific Software - Peer-reviewed - R
Published by HajkD about 4 years ago

Philentropy -

Scientific Software - Peer-reviewed - R
Published by HajkD over 7 years ago