• spatstat

  • Referenced in 124 articles [sw04429]
  • using functions ppm, kppm, slrm similar to glm. Models may include dependence on covariates, interpoint...
  • dobson

  • Referenced in 33 articles [sw25413]
  • package dobson: Data from the GLM Book by Dobson and Barnett. Example datasets from...
  • faraway

  • Referenced in 22 articles [sw04357]
  • thoroughly modern and covers topics that include GLM diagnostics, generalized linear mixed models, trees...
  • 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...
  • Glmulti

  • Referenced in 11 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...
  • 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...
  • glm2

  • Referenced in 7 articles [sw25591]
  • models using the same model specification as glm in the stats package, but with ... models that may fail to converge using glm...
  • Rcapture

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

  • Referenced in 9 articles [sw08193]
  • with Group Lasso penalty. Fits user specified (GLM-) models with Group Lasso penalty...
  • 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...
  • bestglm

  • Referenced in 6 articles [sw21373]
  • package bestglm: Best Subset GLM. Best subset glm using information criteria or cross-validation...
  • PROC REG

  • Referenced in 6 articles [sw12074]
  • regression analysis are the CATMOD, GENMOD, GLM, LOGISTIC, MIXED, NLIN, ORTHOREG, PROBIT, RSREG, and TRANSREG...
  • sspir

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

  • Referenced in 4 articles [sw24100]
  • joint shrinkage for models fitted by lm(), glm(), coxph(), or mfp() is available...
  • GraphVar

  • Referenced in 2 articles [sw26482]
  • with a high-speed general linear model (GLM), users can now perform customizable ML across ... allows comprehensive, user-friendly exploration of encoding (GLM) and decoding (ML) modelling approaches on functional...
  • ggfortify

  • Referenced in 3 articles [sw20802]
  • tools for statistics commonly used, such as GLM, time series, PCA families, clustering and survival...
  • mcglm

  • Referenced in 3 articles [sw23203]
  • interface for fitting McGLMs similar to the glm() R function...