by A.J. Rossini, R.M. Heiberger, K. Hornik, M. Maechler, R.A. Sparapani, S.J. Eglen, S.P. Luque, H. Redestig, V. Spinu, L. Henry, and J.A. Branham. Emacs Speaks Statistics (ESS) provides an intelligent, consistent interface between the user and the software. ESS interfaces with R, SAS, S-PLUS, BUGS/JAGS and other statistical analysis packages on GNU/Linux, other Unix-like systems such as macOS, an
A Bayesian average is a method of estimating the mean of a population using outside information, especially a pre-existing belief,[1] which is factored into the calculation. This is a central feature of Bayesian interpretation. This is useful when the available data set is small.[2] Calculating the Bayesian average uses the prior mean m and a constant C. C is chosen based on the typical data set s
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