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47 search results found

Ggstatsplot ⭐ 1,860

Enhancing {ggplot2} plots with statistical analysis 📊📣

Statsexpressions ⭐ 303

Tidy data frames and expressions with statistical summaries 📜

Gformula ⭐ 127

The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or mean of an outcome under hypothetical treatment strategies specified by the user.

Regtools ⭐ 118

Various tools for linear, nonlinear and nonparametric regression.

A Toolkit for Using EnergyPlus in R.

R package for mixed frequency time series data analysis.

Scoringrules ⭐ 47

scoring rules to evaluate probabilistic forecasts

Pairwisecomparisons ⭐ 46

Pairwise comparison tests for one-way designs 🔬📝

Fitdistrplus ⭐ 46

Help to Fit of a Parametric Distribution to Non-Censored or Censored Data

Mediation ⭐ 44

R package mediation

Differential Gene Correlation Analysis

Lmeresampler ⭐ 36

R package for resampling multilevel models

A Bayesian radiocarbon chronology model with R

Parametric and non-parametric statistical tests

Package for multi-environment trial analysis

Mortalitylaws ⭐ 26

Fit and compare the most popular human mortality laws - R package

Rddtools ⭐ 26

R package for Regresssion Design Discontinuity

Growthrates ⭐ 25

R Package growthrates

An R package for generalised survival models

Vintage Sparse PCA for Semi-Parametric Network Analysis

Cell type matching in single-cell RNA-sequencing data using FR-Match

Quickpsy ⭐ 17

quickly fits and plots psychometric functions for multiple groups

Semi-parametric Rank-Based Correlation and Partial Correlation Estimation for Quantitative Microbiome Data

R package for Non Parametric and Bayesian Statistical Tests

R package to fit Empirical Bayes Normal Means model.

Modelling extreme values

Semi-parametric simulation of bulk and single cell RNA-seq data

An Implementation of Parametric and Nonparametric Event Study

Sim Tmle Tutorial ⭐ 8

Targeted Maximum Likelihood Estimation for a binary treatment: A tutorial. Statistics in Medicine. 2017

Bayesmove ⭐ 7

Non-Parametric Bayesian Analyses of Animal Movement

Steel.dwass.test ⭐ 7

🍀an R package for Steel.Dwass.test (Non-parametric method, a post-hoc test after Kruskal-Wallis Test)

Conduct parametric analysis on EnergyPlus models in R

Simmixeddag ⭐ 7

The simMixedDAG package enables simulation of "real life" datasets from DAGs

Rdistance ⭐ 7

An R package for simple, regression-like, distance-based analyses

Specification test for the propensity score

Fitdistrplus ⭐ 7

❗ This is a read-only mirror of the CRAN R package fitdistrplus — Help to Fit of a Parametric Distrib Report bugs for this package: https://github.com/a ...

An R package for kernel density estimation with parametric starts and asymmetric kernels.

Mgcv.helper ⭐ 6

Helper functions for using mgcv

Customer Churn Analysis ⭐ 6

For the last few years Betfair is losing too many customers and is finding a solution to retain its customers. Aim of this project is to build a customer churn model to predict the customers who are about to get churned so that Betfair can implement different business strategies to retain those customers before they actually leave. The tools I am using for this analysis are R-studio and Tableau. Package mlr was chosen as the modeling package. The data for the purpose of prediction was provided b

Survivalnma ⭐ 6

R interface for survival network meta-analysis models

Treelikeness ⭐ 6

Developing a statistic to test tree likeness and identify genes that don't fit the model.

Posteriorbootstrap ⭐ 5

Utile.tools ⭐ 5

Prepare and summarize data for publication

pgf: R implementation of the parametric g-formula

R package for robust visualisation, analysis, and meta-analysis of A-B Single Case Experimental Designs

Non parametric differential abundance tests for microbiome data

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