logistf: Firth's Bias-Reduced Logistic Regression

Canonical link: https://rscholar.com/pkg/logistf

Georg Heinze • Meinhard Ploner • Daniela Dunkler • Harry Southworth • Lena Jiricka • Gregor Steiner • View description and downloads View dependencies GitHub project

2003 Published

1.26.0 Version

0 Citations

6 Authors

Referenced by ⇅	Year
nncc: Nearest Neighbors Matching of Case-Control Data (Version 2.0.0)	2022
AUtests: Approximate Unconditional and Permutation Tests (Version 0.99)	2016
BEAMR: Bootstrap Evaluation of Association Matrices (Version 1.1.0)	2024
EHR: Electronic Health Record (EHR) Data Processing and Analysis Tool (Version 0.4-11)	2017
MuMIn: Multi-Model Inference (Version 1.48.4)	2010
Surrogate: Evaluation of Surrogate Endpoints in Clinical Trials (Version 3.3.0)	2014
WeightIt: Weighting for Covariate Balance in Observational Studies (Version 1.3.2)	2017
clarify: Simulation-Based Inference for Regression Models (Version 0.2.1)	2023
ggeffects: Create Tidy Data Frames of Marginal Effects for 'ggplot' from Model Outputs (Version 2.0.0)	2017
insight: Easy Access to Model Information for Various Model Objects (Version 1.0.0)	2019
mDAG: Inferring Causal Network from Mixed Observational Data Using a Directed Acyclic Graph (Version 1.2.2)	2019
marginaleffects: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests (Version 0.24.0)	2021
metamisc: Meta-Analysis of Diagnosis and Prognosis Research Studies (Version 0.4.0)	2012
multisite.accuracy: Estimation of Accuracy in Multisite Machine-Learning Models (Version 1.3)	2021
parameters: Processing of Model Parameters (Version 0.24.0)	2019
phyr: Model Based Phylogenetic Analysis (Version 1.1.0)	2019
pogit: Bayesian Variable Selection for a Poisson-Logistic Model (Version 1.3.0)	2015

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.