| binaryfeaturematrix | Convert a meaning matrix to a binary 'meaning-feature-present' matrix. |
| check.dist | Check or fix a distance matrix. |
| count.substring.occurrences | Count occurences of all possible substrings in one more strings. |
| enumerate.meaningcombinations | Enumerate meaning combinations. |
| enumerate.substrings | Enumerate all substrings of a string. |
| hammingdists | Pairwise Hamming distances between matrix rows. |
| mantel.test | Perform one or more Mantel permutation tests. |
| mantel.test.default | Perform one or more Mantel permutation tests. |
| mantel.test.formula | Perform one or more Mantel permutation tests. |
| mantel.test.list | Perform one or more Mantel permutation tests. |
| normalisedlevenshteindists | Compute the normalised Levenshtein distances between strings. |
| orderinsensitivedists | Calculate the bag-of-characters similarity between strings. |
| page.compute.exact | Page test for monotonicity of ranks. |
| page.L | Page test for monotonicity of ranks. |
| page.test | Page test for monotonicity of ranks. |
| plot.mantel | Perform one or more Mantel permutation tests. |
| read.dist | Read a distance matrix from a file or data frame. |
| repmatrix | Extend a matrix by repetition of elements. |
| segment.counts | Split strings into their constituent segments. |
| segment.string | Split strings into their constituent segments. |
| shuffle.locations | Permute the rows and columns of a square matrix. |
| sm.compositionality | Spike's segmentation and measure of additive compositionality. |
| sm.segmentation | Spike's segmentation and measure of additive compositionality. |
| ssm.compositionality | Find a segmentation that maximises the overall string coverage across all signals. |
| ssm.segmentation | Find a segmentation that maximises the overall string coverage across all signals. |
| temperature.colors | Create a vector of 'temperature' colors (from blue over white to red). |
| wrap.meaningdistfunction | Make a meaning distance function vectorisable. |