NEWS.md

In statip: Statistical Functions for Probability Distributions and Regression

statip 0.2.3 (2019-11-17)

Bug fixes

• Fix bug in prune().

• Now hellinger() returns the Hellinger distance, not the square of it (Issue #1, thanks to benjones13).

Features

• Use model.frame() to improve the way formulas are processed in picor().

• Now mfv() is powered by a function tableNA() and returns a factor with the same levels as x, when x is itself a factor.

• In mfv() the argument na.rm is soft-deprecated (so still accepted for now, with a message thrown); the default argument is now called na_rm.

• Add various statistical functions: cv() (coefficient of variation), midhinge(), midrange(), trimean().

• Add histo() to compute a histogram and find_breaks() to give breakpoints just like MASS::truehist() does.

statip 0.2.0

Features

• Add function picor() for univariate piecewise-constant regression.

• Add function bandwidth().

• Add function predict.kmeans() (with dependency to package clue).

• Add ... argument in mfv() and mfv1() (useful for the subsequent call of these functions within package 'modeest').

Performance

• Function if_else() from package 'dplyr' is no longer used since it currently inconsistently transforms a matrix into a vector; the base ifelse() is used instead.

statip 0.1.5

• mfv() was not working with factors.

statip 0.1.4

• Update authors list.

• Add functions mfv() and mfv1(), which compute the mode (most frequent value) found in a vector of discrete values.

• Add small updates before CRAN submission.

statip documentation built on Nov. 18, 2019, 1:06 a.m.