پکیج های مربوط به مقیاس پردازی چندبعدی در نرم افزار R

در لینک زیر می توانید پکیج های مربوط به مقیاس پردازی چندبعدی را در نرم افزار R را مشاهده کنید:

http://cran.r-project.org/web/views/Psychometrics.html

multidimensional scaling (MDS) based on stress minimization by means of majorization: Simple smacof on symmetric dissimilarity matrices, smacof for rectangular matrices (unfolding models), smacof with constraints on the configuration, three-way smacof for individual differences (including constraints for idioscal, indscal, and identity), and spherical smacof (primal and dual algorithm).	smacof	1
multiway method to decompose a tensor (array) of any order, as a generalisation of SVD also supporting non-identity metrics and penalisations. 2-way SVD with these extensions Some other multiway methods: PCAn (Tucker-n) and PARAFAC/CANDECOMP with extensions.	PTAk	2
functionalities for computing classical MDS using the cmdscale() function. Sammon mapping sammon()  non-metric MDS isoMDS()	MASS	3
Non-metric MDS  with metaMDS()  Function nmds() Some routines Function for metric MDS	vegan labdsv  ecodist xgobi ExPosition	4
Principal coordinate analysis with capscale()pco() and with dudi.pco()	vegan labdsv ecodist ade4	5
maximum likelihood difference scaling (MLDS).	MLDS	6