![]() l creates a model selection table from hand-picked models. pdredge does the same, but can parallelize model fitting process using a cluster. The set of models may be generated either with all possible combinations, or tailored according to the conditions specified. 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. 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). ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |