seqemlt function from the
TraMineRextras package does not return a dissimilarity matrix, but a numerical representation (matrix
coord) of the sequences such that the Euclidean distances between the numerical transformed representations (rows of
coord) correspond to the distances between sequences proposed by Rousset, Giret & Grelet al. (2012). If you compute the Euclidean distances between the rows of
dist, the results are non squared distances.
However, Rousset et al's distance is a very specific distance (see Studer & Ritschard, 2014, p. 9) and you should not use it without having an idea of what you are measuring.
There are alternative ways of getting Euclidean distances. Using any dissimilarity measure ---such as optimal matching for example---you get numerical representations of the sequences by means of multidimensional scaling (e.g., see the R
cmdscale function). You can then simply use the Euclidean distances between those numerical representations, which you obtain for instance with
Hope this helps.