broom

Extending broom for time series forecasting

Helpers for regression analyses using `broom` & `easystats` packages 📈 🔍

🌲 broom helpers for decision tree methods (rpart, randomForest, and more!) 🌲

Efficient Fitting of Linear and Generalized Linear Models by using just base R. The speed gains over lm and glm are obtained by reducing the NxP model matrix to a PxP matrix, and the best computational performance is obtained when R is linked against OpenBLAS, Intel MKL or other optimized BLAS library.

PowerShell-скрипт для очистки компьютера от мусора

Программа для очистки компьютера от мусора

📈R package for analyzing biological growth

Fitting many models in R using purrr, broom & dplyr

En este repositorio subo los materiales de mis clases de R. He estado modificando/arreglando algunas y publicando otras. Cualquier duda o sugerencia favor escribir a najulian@mat.uc.cl

Extend broom's tidy() and glance() to work with lists of multiply imputed regression models

Using advanced machine learning algorithms to predict Home Warranty Renewal success in R.

An R package that produces a tidy output for kmeans and linear regression models evaluation!

Work done for University of Pittsburgh course "Principles of Data Science" (STAT 1261) with Dr. Junshu Bao in Fall semester of 2018.

Broom but for sklearn, to tidy up the messy fit results for Linear Regression and KMeans.

The workshop is part of the "Machine Learning in R" graduate course held at University of Münster, School of Business and Economics (winter term 2020/21). 🎓

Helpers for working with regression models using `broom` and `broom.mixed`

Since 1946, all member states of the United Nations have come together at the United Nations General Assembly to discuss and vote on resolutions, among other things. Currently 193 states belong to the United Nations. Each of these member states has exactly one vote in the General Assembly’s resolution votes on issues such as disarmament, international security, humanitarian aid and human rights.