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**GLIM** (an acronym for Generalized Linear Interactive Modelling) is a statistical software program for fitting generalized linear models (GLMs). It was developed by the Royal Statistical Society's Working Party on Statistical Computing (later renamed the GLIM Working Party),^{[1]} chaired initially by John Nelder.^{[2]} It was first released in 1974 with the last major release, GLIM4, in 1993.^{[3]} GLIM was distributed by the Numerical Algorithms Group (NAG).^{[4]}

GLIM was notable for being the first package capable of fitting a wide range of generalized linear models in a unified framework, and for encouraging an interactive, iterative approach to statistical modelling.^{[5]} GLIM used a command-line interface and allowed users to define their own macros. Many articles in academic journals were written about the use of GLIM.^{[6]}^{[7]}^{[8]}^{[9]}^{[10]}^{[11]}^{[12]} GLIM was reviewed in *The American Statistician* in 1994, along with other software for fitting generalized linear models.^{[13]}

The GLIMPSE system was later developed to provide a knowledge based front-end for GLIM.^{[14]}

GLIM is no longer actively developed or distributed.

- Aitkin, Murray; Anderson, Dorothy; Francis, Brian; Hinde, John (1989).
*Statistical Modelling in GLIM*. Oxford: Oxford University Press. ISBN 0-19-852203-7. - Gilchrist, R.; Green, M. (1980).
*GLIM: a primer*. Polytechnic of North London, Dept. of Mathematics. - Healy, Michael J. R. (1988).
*GLIM: an introduction*. Clarendon Press. ISBN 978-0-19-852213-3.

**^**Royal Statistical Society webpage on Working Parties (archived Feb 2007)**^**Nelder, John (1975). "Announcement by the Working Party on Statistical Computing: GLIM (Generalized Linear Interactive Modelling Program)".*Journal of the Royal Statistical Society. Series C (Applied Statistics)***24**(2): 259–261. JSTOR 2346575.**^**Francis, Brian; Mick Green; Clive Payne (1993).*The GLIM System: Release 4 Manual*. Oxford: Clarendon Press. ISBN 0-19-852231-2.**^**Generalized Linear Interactive Modeling Package (GLIM) at the Wayback Machine (archived 12 October 2010)**^**Aitkin, Murray; Dorothy Anderson; Brian Francis; John Hinde (1989).*Statistical Modelling in GLIM*. Oxford: Oxford University Press. ISBN 0-19-852203-7.**^**Wacholder, Sholom (1986). "Binomial regression in GLIM: Estimating risk ratios and risk differences".*American Journal of Epidemiology***123**(1): 174–184. PMID 3509965. http://aje.oxfordjournals.org/cgi/content/abstract/123/1/174.**^**Aitken, Murray; Clayton, David (1980). "The Fitting of Exponential, Weibull and Extreme Value Distributions to Complex Censored Survival Data Using GLIM".*Journal of the Royal Statistical Society. Series C (Applied Statistics)***29**(2): 156–163. JSTOR 2986301.**^**Aitkin, Murray (1987). "Modelling Variance Heterogeneity in Normal Regression Using GLIM".*Journal of the Royal Statistical Society. Series C (Applied Statistics)***36**(3). JSTOR 2347792.**^**Whitehead, John (1980). "Fitting Cox's Regression Model to Survival Data using GLIM".*Journal of the Royal Statistical Society. Series C (Applied Statistics)***29**(3). JSTOR 2346901.**^**Berman, Mark; Turner, Rolf T. (1992). "Approximating Point Process Likelihoods with GLIM".*Journal of the Royal Statistical Society. Series C (Applied Statistics)***41**(1): 31–38. JSTOR 2347614.**^**Decarli, A.; La Vecchia, C. (1987). "Age, period and cohort models: review of knowledge and implementation in GLIM".*Rev. Stat. App.***20**: 397–409.**^**Jørgensen, Bent; Jorgensen, Bent (1984). "The Delta Algorithm and GLIM".*International Statistical Review / Revue Internationale de Statistique***52**(3): 283–300. doi:10.2307/1403047. JSTOR 1403047.**^**Hilbe, Joseph (1994). "Review: Generalized Linear Models".*The American Statistician***48**(3): 255–265. doi:10.2307/2684732. JSTOR 2684732.**^**Wolstenholme, D.; Obrien, C.; Nelder, J. (1988). "GLIMPSE: a knowledge-based front end for statistical analysis".*Knowledge-Based Systems***1**(3): 173. doi:10.1016/0950-7051(88)90075-5.