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David Firth, software: Kuvee and qvcalc


These software tools compute quasi-variances for estimates of a group or factor effect in a generalized linear model (including linear models, logistic regression, log linear models, hazard models, etc.) The software can be used either in conjunction with R (as contributed package qvcalc) or Xlisp-Stat on a PC, Mac or Unix computer; or remotely through the Kuvee web-based calculator.

The current, stable release of qvcalc is published on CRAN, at

The development version, which may be more recent but less stable, is maintained on github at

Installation in R: either


[for the stable, CRAN package]; or


[for the development version on github]

(Kuvee is new in 2013 — developed and maintained by Shaun Killingbeck. This is a client-side calculator, which offers improved facilities and performance and which replaces the server-side calculator that was previously available here.)


Documentation is vailable at two levels of detail:

  1. a brief description of the methodology, for users of the web-based Kuvee calculator
  2. a more complete manual, "Quasi-variances in Xlisp-Stat and on the Web", intended mainly for those who use the method in conjunction with Xlisp-Stat on their own computer. Cite as: Firth, D (2000), Quasi-variances in Xlisp-Stat and on the web, Journal of Statistical Software 5.4, 1-13.

The R package qvcalc comes with its own documentation.:


For use with R:

The R package qvcalc is available at CRAN (released versions) and Github (development version). See above for installation in R.

For use with Xlisp-Stat:

If you want to use the QV Calculator on your own computer in conjunction with Xlisp-Stat, the file needed is:

After downloading qvcalc.lsp simply Load it into Xlisp-Stat to make available the QV Calculator.

The ship-damage example discussed in the documentation is in a separate file:

Version history for the R package "qvcalc"

Please see the NEWS file (on Github).

QV Calculator

© David Firth, 1999. This software carries ABSOLUTELY NO WARRANTY: feel free to use it, but use it at your own risk!

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