A number of interesting packages are available to perform Correspondence Analysis in R. At the best of my knowledge, they lack tools to help users to 'eyeball' aspects that are crucial to the interpretation of the CA results (e.g., contribution of rows/cols categories to the principal axes, quality of the display, correlation of rows/cols categories with dimensions, etc). Besides providing those facilities, this package allows to calculate the significance of the CA dimensions by means of the 'Average Rule', the Malinvaud test, and by permutation tests. It also allows to calculate the permuted significance of the CA total intertia.
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