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...g course and the implementation of our "wishlist". Please respond to my private adress so the list isn't messed up with more or less business related questions. With thanks in advance. Best regards, Holger Nowak -- Holger Nowak Junior Project Manager data analysis | programming > psychonomics AG > Berrenrather Str. 154-156 > D-50937 K?ln > T +49 (0) 221 42061-346 > F +49 (0) 221 42061-100 > E-Mail: holger.nowak at psychonomics.de > www.psychonomics.de > ------------------- "Kundenmonitor Banken 2006" erschienen. Studieninfo: www.psychonomics.de/kundenmo...

Hello useRs, MBESS (Methods for the Behavioral, Educational, and Social Sciences) has recently been released and should be on all of the mirrors by now (with binaries for Mac and Windows: http://cran.r-project.org/src/contrib/Descriptions/MBESS.html). The major contribution of MBESS is confidence intervals for noncentrality parameters (t, F, and chi-square) and standardized effect sizes (e.g.,

Dear all, I have submitted a new package called mpt to CRAN. It contains functions for fitting and testing multinomial processing tree (MPT) models, a class of statistical models for categorical data that involve latent parameters. These parameters are often interpreted as psychological processing variables. An introduction to these models is: Riefer, D.M., & Batchelder, W.H. (1988).

Hello useRs, MBESS (Methods for the Behavioral, Educational, and Social Sciences) has recently been released and should be on all of the mirrors by now (with binaries for Mac and Windows: http://cran.r-project.org/src/contrib/Descriptions/MBESS.html). The major contribution of MBESS is confidence intervals for noncentrality parameters (t, F, and chi-square) and standardized effect sizes (e.g.,

Dear R-Helpers, Parametric statistics are statistics where the population is assumed to fit any parametrized distributions (most typically the normal distribution). My problem is: 1) if my polulation is no normal 2) if the sample data of all replications and treatments were well fitted from the Weibull distribution (shape and scale parameters). Can be The shape and scale parameters compared

Dear all, I have submitted a new package called mpt to CRAN. It contains functions for fitting and testing multinomial processing tree (MPT) models, a class of statistical models for categorical data that involve latent parameters. These parameters are often interpreted as psychological processing variables. An introduction to these models is: Riefer, D.M., & Batchelder, W.H. (1988).