Metrics to evaluate heterogeneous treatment effect predictions
-
Updated
Oct 14, 2025 - R
#
hmisc
Here are 7 public repositories matching this topic...
EDA is a must to do step in the data science workflow. Working on data, wrangling & transforming them is time consuming, and it determine the success degree of the next steps (pre preocessing, modelling, communicating outputs & decision making). This repo will show you how to perform EDA in R using the tidyverse ecosystem, and will introduce a c…
r exploratory-data-analysis tidyverse eda rmarkdown explorer outliers statistical-tests missing-data dataexplorer exploratory-data-visualizations summarytools hmisc rtutor smarteda dlookr
-
Updated
May 31, 2020 - R
Analyzing Air quality Index of Indian cities through various visualization packages in R and building a dashboard using Shiny package
-
Updated
Oct 1, 2021 - R
This repository contains simple statistical R codes used to describe a dataset. These scripts provide a summarized and easy way of estimating the mean, median, mode, skewness and kurtosis of data. It also provides codes for calculating the covariance.
mean range mode minimum maximum covariance median pearson-coefficient skewness spearman kurtosis kendall hmisc e1071
-
Updated
Jun 29, 2020 - R
R Shiny Dashboard using 5th Edition Dungeons and Dragons Character data
-
Updated
Nov 4, 2025 - R
R functions I made over the years to make my work easier. Includes data visualization functions in base R and functions for extracting relevant info from R model objects to make useful, informative tables.
-
Updated
Mar 22, 2019 - R
Add this topic to your repo
To associate your repository with the hmisc topic, visit your repo's landing page and select "manage topics."