Software by Alexis Dinno
Find here some of the fruits of my quantitative and computational geekery
Cochran’s Q test tests for stochastic dominance in b blocks of binary data across k groups, and is a nonparametric analog to the oneway repeated measures ANOVA. Cochran’s Q can be considered a generalization of McNemar’s test to an arbitrary number of groups. cochranq performs m = k(k – 1)/2 multiple pairwise comparisons, and implements an array of family-wise error rate and false discovery rate methods to account for multiple comparisons.cochranq is currently available for Stata on the web for manual installation, and from within Stata’s Viewer window by typing:
net describe cochranq, from(https://alexisdinno.com/stata)Note for users of Stata versions 14 and earlier: These versions do not fully support secure hypertext transport protocol (https), and you will need to manually install or update the cochranq files at the link above.
The Conover-Iman test tests for stochastic dominance among multiple pairwise comparisons strictly following the rejection of a Kruskal-Wallis omnibus test of stochastic dominance among k groups, and is a nonparametric analog to the post hoc t tests following a oneway ANOVA. conovertest performs m = k(k – 1)/2 multiple pairwise comparisons, and implements an array of family-wise error rate and false discovery rate methods to account for multiple comparisons. The Conover-Iman test is similar to Dunn’s test, but is strictly more powerful given the prior rejection of the Kruskal-Wallis null hypothesis.conovertest is currently available for Stata on the web for manual installation, and from within Stata’s Viewer window by typing:
net describe conovertest, from(https://alexisdinno.com/stata)Note for Stata BE users: There is one report of this package not working on Stata BE 17 (which I do not have access to). If inclined to help out, please let me know whether you do or do not get dunntest to work with Stata BE (17 or other versions).
Note for users of Stata versions 14 and earlier: These versions do not fully support secure hypertext transport protocol (https), and you will need to manually install or update the conovertest files at the link above.
conover.test is currently available for R on the web from CRAN, and from within R by typing:
install.packages("conover.test")
Discrete-time event history analysis is a powerful parametric regression technique for modeling whether and when events occur in abstracted (i.e. discrete) units of time. I have implemented methods introduced to me through the event history analysis curriculum of Judith Singer and John Willett within the context of educational and sociological research.dthaz is currently available for Stata on the web here, and from within Stata’s Viewer window by typing:
net describe dthaz, from(https://alexisdinno.com/stata)Note for users of Stata versions 14 and earlier: These versions do not fully support secure hypertext transport protocol (https), and you will need to manually install or update the dthaz ado files. Contact me at the address on the bottom of this page for help doing this.
Dunn’s test tests for stochastic dominance among multiple pairwise comparisons following a Kruskal-Wallis omnibus test of stochastic dominance among k groups, and is a nonparametric analog to the post hoc t tests following a oneway ANOVA. dunntest performs m = k(k – 1)/2 multiple pairwise comparisons, and implements an array of family-wise error rate and false discovery rate methods to account for multiple comparisons.dunntest is currently available for Stata on the web for manual installation, and from within Stata’s Viewer window by typing:
net describe dunntest, from(https://alexisdinno.com/stata)Note for Stata BE users: There is one report of this package not working on Stata BE 17 (which I do not have access to). If inclined to help out, please let me know whether you do or do not get dunntest to work with Stata BE (17 or other versions).
Note for users of Stata versions 14 and earlier: These versions do not fully support secure hypertext transport protocol (https), and you will need to manually install or update the dunntest files at the link above.
dunn.test is currently available for R on the web from CRAN, and from within R by typing:
install.packages("dunn.test")
Loop analysis is a body of methods for understanding the nature of system behavior in systems of causal feedback. Originally devised by Richard Levins as a means of creating testable hypotheses about the behavior of dynamic systems in population biology, loop analysis has a very general application in sciences concerned with modeling causal feedback.Loop Analyst is currently available for R on the web here, and from CRAN, and from within R by typing:
install.packages("LoopAnalyst")A stand-alone version with GUI is in beta release, see the Loop Analyst page for details and download.
Parallel analysis is a general method to reliably assess the underlying dimensionality of multicolinear data. Originally devised by John L. Horn, the method has been favorably compared to other dimensional analysis methods and modified slightly over the years.paran is currently available as an ado for Stata on the web for manual installation, and from within Stata’s Viewer window by typing:
net describe paran, from(https://alexisdinno.com/stata)Note for users of Stata versions 14 and earlier: These versions do not fully support secure hypertext transport protocol (https), and you will need to manually install or update the paran files at the link above.
paran is currently available for R on the web from CRAN, and from within R by typing:
install.packages("paran")
Two One-Sided Tests (TOST) for equivalence provide evidence of no effect larger than a specified effect size. Combining the more common tests for difference with tests for equivalence is termed “relevance testing” and places both effect size and statistical power directly into the hypothesis testing process. the tost package provides a selection of TOST applications (t tests, z tests, normality tests, McNemar’s test, signed-rank and rank-sum tests, and OLS regression).tost is currently available as a package for Stata on the web for manual installation, and from within Stata’s Viewer window by typing:
net describe tost, from(https://alexisdinno.com/stata)Note for users of Stata versions 14 and earlier: These versions do not fully support secure hypertext transport protocol (https), and you will need to manually install or update the paran files at the link above.
As a rule, I am happy to take feedback, respond to requests for assistance, and consider feature requests for my projects. I can be contacted at:
