speedglm: Fitting Linear and Generalized Linear Models to Large Data Sets

Canonical link: https://scholar.rpkg.net/pkg/speedglm

Marco Enea • Ronen Meiri • Tomer Kalimi • View description and downloads View dependencies GitHub project

2012 Published

0.3-5 Version

0 Citations

3 Authors

Referenced by ⇅	Year
dynamichazard: Dynamic Hazard Models using State Space Models (Version 1.0.2)	2016
GEint: Misspecified Models for Gene-Environment Interaction (Version 1.0)	2016
hit: Hierarchical Inference Testing (Version 0.4.0)	2015
scoringTools: Credit Scoring Tools (Version 0.1.3)	2020
survtmle: Compute Targeted Minimum Loss-Based Estimates in Right-Censored Survival Settings (Version 1.1.1)	2017
prediction: Tidy, Type-Safe 'prediction()' Methods (Version 0.3.17)	2016
EMJMCMC: Evolutionary Mode Jumping Markov Chain Monte Carlo Expert Toolbox (Version 1.5.0)	2024
SuperLearner: Super Learner Prediction (Version 2.0-29)	2011
adapt4pv: Adaptive Approaches for Signal Detection in Pharmacovigilance (Version 0.2-3)	2020
bigstep: Stepwise Selection for Large Data Sets (Version 1.1.1)	2016
broom: Convert Statistical Objects into Tidy Tibbles (Version 1.0.5)	2014
btergm: Temporal Exponential Random Graph Models by Bootstrapped Pseudolikelihood (Version 1.10.12)	2015
fastlogitME: Basic Marginal Effects for Logit Models (Version 0.1.0)	2020
insight: Easy Access to Model Information for Various Model Objects (Version 0.19.10)	2019
marginaleffects: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests (Version 0.19.0)	2021
mediation: Causal Mediation Analysis (Version 4.5.0)	2009
parglm: Parallel GLM (Version 0.1.7)	2018
superMICE: SuperLearner Method for MICE (Version 1.1.1)	2022
texreg: Conversion of R Regression Output to LaTeX or HTML Tables (Version 1.39.3)	2012

RPKG Scholar presents a tabulation of an author's contribution in the development of R packages stored in the Comprehensive R Archive Network (CRAN). Within this site, we consider package dependencies (suggests,imports,depends,enhances) as citations because we believe that using one's package to develop another is tantamount to citing the author of the package being imported, suggested or enhanced.