-packages

The following are some R packages I have developed and uploaded to CRAN. Click on the package name to go to the corresponding page on CRAN.

MultinomialCI


Simultaneous confidence intervals for multinomial proportions according to the method by Sison and Glaz
An implementation of a method for building simultaneous confidence intervals for the probabilities of a multinomial distribution given a set of observations, presented in:
[1] Sison, C.P and J. Glaz. Simultaneous confidence intervals and sample size determination for multinomial proportions. Journal of the American Statistical Association, 90:366-369 (1995).
[2] May, W.L. and W.D. Johnson. Constructing two-sided simultaneous confidence intervals for multinomial proportions for small counts in a large number of cells. Journal of Statistical Software 5(6) (2000).

FuzzyStatProb


Fuzzy stationary probabilities from a sequence of observations of an unknown Markov chain
Related publications:

ART


Aligned Rank Transform for nonparametric factorial analysis
An implementation of the Aligned Rank Transform technique for factorial analysis presented in
[1] Higgins, J. J. and Tashtoush, S. An aligned rank transform test for interaction. Nonlinear World 1(2), pp. 201-211 (1994).
[2] Wobbrock, J.O., Findlater, L., Gergle, D. and Higgins, J.J. The Aligned Rank Transform for nonparametric factorial analyses using only ANOVA procedures. Proc. of CHI 2011, pp. 143-146 (2011).

Related publications:

SRCS


Statistical Ranking Color Scheme for Multiple Pairwise Comparisons
Related publications:

Standalone script to create a video sequence here (requires ImageMagick software installed).
NOTE: Under Linux, adjust the path.to.converter argument to (most likely) /usr/bin/convert
Standalone script and datasets to generate the data of the Machine Learning experiment in R here.

An image (left) and a convergence video (right) generated by SRCS on problems whose configurations are defined by at most 3 parameters (click to enlarge):

      

FuzzyLP


Fuzzy Linear Programming in R
Related publications: