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Journal of Statistical Software
1089 Publications


  • An Introduction to the Special Volume on "Political Methodology"

    This special volume of the Journal of Statistical Software on political methodology includes 14 papers, with wide-ranging software contributions of political scientists to their own field, and more generally to statistical data analysis in the the social sciences and beyond. Special emphasis is given to software that is written in or can cooperate with the R system for statistical computing.

    %PROC_R: A SAS Macro that Enables Native R Programming in the Base SAS Environment

    Wei, Xin (2012)
    In this paper, we describe %PROC_R, a SAS macro that enables native R language to be embedded in and executed along with a SAS program in the base SAS environment under Windows OS. This macro executes a user-defined R code in batch mode by calling the unnamed pipe method within base SAS. The R textual and graphical output can be routed to the SAS output window and result viewer, respectively. Also, this macro automatically converts data between SAS datasets and R data frames such that the dat...

    My Early Interactions with Jan and Some of His Lost Papers

    It has been over 40 years since I got to know Jan. This period almost entirely overlaps my career as a psychometrician. During these years, I have had many contacts with him. This paper reviews some of my early interactions, focussing on the following topics: (1) An episode surrounding the inception of the ALSOS project, and (2) Jan's unpublished (and some lost) notes and papers that I cherished and quoted in my work, including (2a) the ELEGANT algorithm for squared distance scaling, (2b) the...

    gramEvol: Grammatical Evolution in R

    We describe an R package which implements grammatical evolution (GE) for automatic program generation. By performing an unconstrained optimization over a population of R expressions generated via a user-defined grammar, programs which achieve a desired goal can be discovered. The package facilitates the coding and execution of GE programs, and supports parallel execution. In addition, three applications of GE in statistics and machine learning, including hyper-parameter optimization, classifi...
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