I have just uploaded an updated version of my boolean package (v1.05), which should be propagating through CRAN's mirrors soon. Boolean permits estimation of Boolean logit and probit models (see Braumoeller (2003), full reference in help file, for derivation). Boolean logit and probit are a family of partial-observability n-variate models designed to permit researchers to model causal complexity, or multiple causal "paths" to a given outcome. The various "paths" are modeled as latent dependent variables that are multiplied together in a manner determined by the logic of their (Boolean) interaction. Any combination of ANDs and ORs can be posited, and the interaction of any number of latent dependent variables can be modeled, although the procedure becomes exponentially more data-intensive as the number of latent dependent variables increases. The update to version 1.04 was not announced; only minor modifications were made to ensure compatibility with R 1.9. The update to version 1.05 permits the use of Sekhon and Mebane's GENOUD optimizer for likelihood surfaces that are convoluted and therefore contain multiple local maxima. Because this procedure can produce such surfaces quite easily, the use of GENOUD is recommended. Bear F. Braumoeller Associate Professor Department of Government Harvard University http://www.people.fas.harvard.edu/~bfbraum _______________________________________________ R-packages mailing list R-packages at stat.math.ethz.ch https://stat.ethz.ch/mailman/listinfo/r-packages