• spatstat

  • Referenced in 132 articles [sw04429]
  • using functions ppm, kppm, slrm similar to glm. Models may include dependence on covariates, interpoint...
  • glm

  • Referenced in 25 articles [sw37503]
  • Stata command glm - Generalized linear models. glm fits generalized linear models. It can fit models...
  • dobson

  • Referenced in 37 articles [sw25413]
  • package dobson: Data from the GLM Book by Dobson and Barnett. Example datasets from...
  • faraway

  • Referenced in 23 articles [sw04357]
  • thoroughly modern and covers topics that include GLM diagnostics, generalized linear mixed models, trees...
  • Glmulti

  • Referenced in 12 articles [sw10544]
  • model selection and multi-model inference with glm and related functions. From a list ... fitted with standard R functions like glm. The n best models and their support...
  • PROC GLM

  • Referenced in 8 articles [sw12073]
  • Overview: GLM Procedure. The GLM procedure uses the method of least squares to fit general ... Among the statistical methods available in PROC GLM are regression, analysis of variance, analysis ... analysis of variance, and partial correlation. PROC GLM analyzes data within the framework of general ... linear models. PROC GLM handles models relating one or several continuous dependent variables...
  • bestglm

  • Referenced in 8 articles [sw21373]
  • package bestglm: Best Subset GLM. Best subset glm using information criteria or cross-validation...
  • glm2

  • Referenced in 8 articles [sw25591]
  • models using the same model specification as glm in the stats package, but with ... models that may fail to converge using glm...
  • dglm

  • Referenced in 7 articles [sw17733]
  • models uses one generalized linear model (GLM) to fit the specified response and a second ... GLM to fit the deviance of the first model...
  • grplasso

  • Referenced in 10 articles [sw08193]
  • with Group Lasso penalty. Fits user specified (GLM-) models with Group Lasso penalty...
  • Rcapture

  • Referenced in 10 articles [sw13992]
  • Poisson regression with the R function glm. Estimates of the demographic parameters of interest...
  • vcdExtra

  • Referenced in 6 articles [sw09553]
  • sieve plots from ’vcd’ to handle ’glm()’ and ’gnm()’ models and adds a 3D version ... provided for comparing and visualizing lists of ’glm’ and ’loglm’ objects. This package...
  • PROC REG

  • Referenced in 7 articles [sw12074]
  • regression analysis are the CATMOD, GENMOD, GLM, LOGISTIC, MIXED, NLIN, ORTHOREG, PROBIT, RSREG, and TRANSREG...
  • qic

  • Referenced in 4 articles [sw37345]
  • extension of the generalized linear model (GLM) method to correlated data such that valid standard ... parameter estimates can be drawn. Unlike the GLM method, which is based on the maximum ... widely used method for model selection in GLM, is not applicable to GEE directly. However...
  • sspir

  • Referenced in 6 articles [sw24865]
  • package sspir. A glm-like formula language to define dynamic generalized linear models (state space...
  • PROC NLIN

  • Referenced in 6 articles [sw26218]
  • linear modeling procedures such as the REG, GLM, and MIXED procedures. Estimating parameters...
  • mcglm

  • Referenced in 5 articles [sw23203]
  • interface for fitting McGLMs similar to the glm() R function...
  • glm-ie

  • Referenced in 2 articles [sw13249]
  • Glm-ie: generalised linear models inference & estimation toolbox. The glm-ie toolbox contains functionality ... evaluation for convenient modelling. We designed the glm-ie package to be simple, generic ... common algorithmical framework by the glm-ie toolkit...
  • ordinalNet

  • Referenced in 4 articles [sw20527]
  • These families are a subset of vector glm’s which belong to a model class...