![]() Details The collection of functions includes: dredge performs automated model selection with subsets of the supplied global model, and optional choices of other model properties (such as different link functions). License GPL-2 Depends R (>= ) Imports stats Suggests stats4, nlme, mgcv (>= 1.7.5), lme4 (>= ), gamm4,mass, nnet, survival, geepack Enhances aod, coxme, glmmml, MCMCglmm, pscl, spdep, unmarked, ordinal,gee, splm, logistf LazyLoad yes R topics documented: MuMIn-package AICc Beetle Cement dredge Formula manipulation gamm-wrapper get.models importance Information criteria Model utilities model.avg lĢ 2 MuMIn-package MuMIn-models par.avg pdredge predict.averaging QAIC QIC r.squaredglmm r.squaredlr Weights Index 38 MuMIn-package Multi-model inference The package MuMIn contains functions to streamline information-theoretic model selection and carry out model averaging based on the information criteria. ![]() I know in 2016 that this was an issue with integer bit restrictions.1 Package MuMIn JanuType Package Title Multi-model inference Version Date Encoding UTF-8 Author Kamil Bartoń Maintainer Kamil Bartoń Model selection and model averaging based on information criteria (AICc and alike). #Non-working model (31 or more predictors) Sub.dredge <- pdredge(mod, cluster=clust, eval=FALSE) #Random data: X1 as response, X2-X32 (31) predictors #Random data: X1 as response, X2-X31 (30) predictors Running under: Windows >= 8 圆4 (build 9200) I'm on a windows machine running Microsoft R Open through RStudio: R version 3.5.3 () Invalid format '%d' use format %f, %e, %g or %a for numeric objects I've run into the following error that only occurs when I pass a model with more than 30 predictors to pdredge():Įrror in sprintf(gettext(fmt, domain = domain).
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