musicMCT 0.2.0

New ineqmat features

New make_black_ineqmat() and make_gray_ineqmat() allow new transposition-sensitive hyperplane arrangements to be studied; ineqmat parameter for other functions (e.g. signvector() now accepts “black” and “gray” as options.
New make_offset_ineqmat() creates version of standard ineqmats (MCT, white, black, etc.) which have been translated to be centered on an arbitrary set.
Creation functions for ineqmats (makeineqmat(), make_black_ineqmat(), make_white_ineqmat(), make_roth_ineqmat()) now return a consistent value (integer(0)) rather than various errors when card is small.
New data set roth_ineqmats.rda with precomputed results from make_roth_ineqmat(); accessed with new get_roth_ineqmat().
New data sets for pastel and white arrangements (for cardinalities <= 6) uploaded to modalcolortheory repository and linked in the documentation for make_white_ineqmat().

Affected functions are quantize_color(), quantize_hue(), and set_from_signvector().
Upon failure, quantization functions now return a result whose format matches expected success format depending on value of reconvert parameter. That is, if reconvert=TRUE, failure to quantize results in a NA vector (as before), but if reconvert=FALSE, failure to quantize results in a list with entries set and edo, both of which are NA.
Quantization functions gain a target_edo parameter, which allows user to search for desired scales in a specific edo rather than all possible edos.

New clockface() offers a simple plotting mechanism to visualize sets on a pitch-class clockface (with numbers corresponding to any equal temperament).
New ianring() creates a convenient way to open a browser window to information about the input set on Ian Ring’s website The Exciting Universe of Music Theory.
New functions for basic applications of the DFT to set theory are added. These include set_to_distribution(), distribution_to_set(), and dft().

brightnessgraph() now returns an invisible copy of the igraph graph object underlying the plotted brightness graph, instead of an invisible NULL.
sim() gains a goal parameter, which allows it to calculate the interscalar interval matrix for two sets.
vl_generators() now throws a warning instead of an error when set is perfectly even, returning a 2-by-0 matrix.