Extracting, Computing and Exploring the Parameters of Statistical Models using R
Extracting, Computing and Exploring the Parameters of Statistical Models using R - Published in JOSS (2020)
Visualizations with statistical details
Visualizations with statistical details: The 'ggstatsplot' approach - Published in JOSS (2021)
statsmodels
Statsmodels: statistical modeling and econometrics in Python
galpynostatic
:zap::battery: A Python/C++ package with physics-based and data-driven models to predict optimal conditions for fast-charging lithium-ion batteries
joineRML
R package for fitting joint models to time-to-event data and multivariate longitudinal data
stargazer
Python implementation of the R stargazer multiple regression model creation tool
pyprocessmacro
A Python library for moderation, mediation and conditional process analysis.
risks
risks: R package for estimating risk ratios and risk differences using regression
prettyglm
prettyglm provides a set of functions which can easily create beautiful coefficient summaries which can readily be shared and explained.
metaperceptron
MetaPerceptron: A Standardized Framework For Metaheuristic-Driven Multi-layer Perceptron Optimization
intelelm
IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine
lmhelprs
A collection of helper functions for some common tasks in fitting linear models, mainly by lm().
glm-project
Car Price and Heart Failure prediction using Generalized Linear Models (GLMs)