The following pages link to dplyr (Q25186):
Displaying 50 items.
- bestNormalize (Q1353789) (← links)
- esaps (Q1353902) (← links)
- electoral (Q1353908) (← links)
- skynet (Q1353967) (← links)
- SSNbayes (Q1354028) (← links)
- visxhclust (Q1354121) (← links)
- fastRG (Q1354428) (← links)
- bayesCT (Q1354508) (← links)
- skewlmm (Q1354581) (← links)
- fgeo (Q1354602) (← links)
- morse (Q1354607) (← links)
- qqplotr (Q1354608) (← links)
- Spatio-temporal change of support modeling with \texttt{R} (Q1995874) (← links)
- Stochastic modelling and simulation of a kidney transplant waiting list (Q2051197) (← links)
- Large-sample properties of unsupervised estimation of the linear discriminant using projection pursuit (Q2074341) (← links)
- Community engagement and subgroup meta-knowledge: some factors in the soul of a community (Q2282581) (← links)
- An analysis of crash-safety ratings and the true assessment of injuries by vehicle (Q2666990) (← links)
- An optimized feature selection technique based on bivariate copulas ``GBCFS'' (Q2687941) (← links)
- Extracting the collective wisdom in probabilistic judgments (Q2694758) (← links)
- Reproducible research with R and RStudio (Q2938235) (← links)
- ggplot2 (Q2944951) (← links)
- Graphical Data Analysis with R (Q2947812) (← links)
- Modern data science with R (Q2959035) (← links)
- Getting Started with R (Q2973347) (← links)
- Symbolic Formulae for Linear Mixed Models (Q3305482) (← links)
- Ensemble Graphics (Q3391142) (← links)
- A Grammar for Reproducible and Painless Extract-Transform-Load Operations on Medium Data (Q3391228) (← links)
- Intelligent Initialization and Adaptive Thresholding for Iterative Matrix Completion: Some Statistical and Algorithmic Theory for<i>Adaptive-Impute</i> (Q3391239) (← links)
- trackr: A Framework for Enhancing Discoverability and Reproducibility of Data Visualizations and Other Artifacts in R (Q3391274) (← links)
- (Q4594513) (← links)
- Pairs trading with a mean-reverting jump–diffusion model on high-frequency data (Q4619518) (← links)
- Statistical arbitrage with vine copulas (Q4619524) (← links)
- Probability, statistics, and data. A fresh approach using R (Q4956987) (← links)
- R kompakt (Q4985110) (← links)
- Model fit criteria curve behaviour in class enumeration – a diagnostic tool for model (mis)specification in longitudinal mixture modelling (Q5083338) (← links)
- The Clustering Structure of the COVID-19 Outbreak in Global Scale (Q5106316) (← links)
- An <i>R</i><sup>2</sup> statistic for fixed effects in the generalized linear mixed model (Q5138603) (← links)
- Bayes Rules! (Q5163774) (← links)
- Introduction to Data Science (Q5206308) (← links)
- Statistical Inference via Data Science (Q5215258) (← links)
- Machine Learning Using R (Q5233756) (← links)
- How R Helps Airbnb Make the Most of its Data (Q5882503) (← links)
- Lessons From Between the White Lines for Isolated Data Scientists (Q5882508) (← links)
- A Guide to Teaching Data Science (Q5882566) (← links)
- A Data Science Course for Undergraduates: Thinking With Data (Q5885407) (← links)
- The Quality of Pitches in Major League Baseball (Q5885455) (← links)
- clusEvol (Q5976482) (← links)
- sweep (Q5980434) (← links)
- genderstat (Q5982792) (← links)
- CompositeReliability (Q5982823) (← links)
