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R packages maintained by Stanford R community members. These can be found on the Comprehensive R Archive Network (CRAN) or on Bioconductor.org. We are stlil working to complete this list. If you would like your package listed here please contact amyhodge@stanford.edu.
Package Name | Description | Maintainer (Email link) |
AIM | AIM: adaptive index model | Robert Tibshirani |
akmeans | Adaptive Kmeans algorithm based on threshold | Jungsuk Kwac |
allan | Automated Large Linear Analysis Node | Alan Lee |
argparse | Command line optional and positional argument parser | Trevor L Davis |
ASSISTant | Adaptive Subgroup Selection in Group Sequential Trials | |
bigKRLS | bigKRLS: Optimized Kernel Regularized Least Squares | |
biom | An interface package (beta) for the BIOM file format | Paul J. McMurdie |
biomformat | An interface package for the BIOM file format | Paul J. McMurdie |
BiSeq | Processing and analyzing bisulfite sequencing data | Katja Hebestreit |
cate | High Dimensional Factor Analysis and Confounder Adjusted Testing and Estimation | Qingyuan Zhao |
CBPS | Covariate Balancing Propensity Score | Christian Fong |
DF.PSIdekick | CDF.PSIdekick: Evaluate Differentially Private Algorithms for Publishing Cumulative Distribution Functions | Daniel Muise |
clogitL1 | Fitting exact conditional logistic regression with lasso and elastic net penalties | Stephen Reid |
COCONUT | COmbat CO-Normalization Using conTrols (COCONUT) | Timothy E Sweeney |
COMMUNAL | Robust Selection of Cluster Number K | Albert Chen |
ConjointChecks | A package to check the cancellation axioms of conjoint measurement | Ben Domingue |
covTest | Computes covariance test for adaptive linear modelling | Rob Tibshirani |
cubature | Adaptive multivariate integration over Hypercubes | Balasubramanian Narasimhan |
customizedTraining | Customized Training for Lasso and Elastic-Net Regularized Generalized Linear Models | Scott Powers |
CVcalibration | Estimation of the Calibration Equation with Error-in Observations | Lu Tian |
deconvolveR | Empirical Bayes Estimation Strategies | Balasubramanian Narasimhan |
distcomp | Computations over Distributed Data without Aggregation | Balasubramanian Narasimhan |
distory | Distance Between Phylogenetic Histories | Susan Holmes |
ebal | Entropy reweighting to create balanced samples | Jens Hainmueller |
ECOSolveR | Embedded Conic Solver in R | Balasubramanian Narasimhan |
exactmeta | Exact fixed effect meta analysis | Lu Tian |
findpython | Python tools to find an acceptable python binary | Trevor L Davis |
freqdom | Frequency Domain Based Analysis: Dynamic PCA | Lukas Kidzinski |
freqdom.fda | Functional Time Series: Dynamic Functional Principal Components | Lukas Kidzinski |
gam | Generalized Additive Models | Trevor Hastie |
gamsel | Fit Regularization Path for Generalized Additive Models | Trevor Hastie |
gconcord | Concord method for Graphical Model Selection | Sang-Yun Oh |
getopt | C-like getopt behavior | Trevor L Davis |
glasso | Graphical lasso- estimation of Gaussian graphical models | Rob Tibshirani |
glmnet | Lasso and Elastic-Net Regularized Generalized Linear Models | Trevor Hastie |
grf | Generalized Random Forests (Beta) | Julie Tibshirani |
GSA | Gene set analysis | Rob Tibshirani |
happybiRthday | Calculate Upcoming Birthday Dates of Github Repos | Bohdan Khomtchouk |
homomorpheR | Homomorphic Computations in R | Balasubramanian Narasimhan |
igraphtosonia | Convert iGraph graps to SoNIA .son files | Sean J Westwood |
impute | impute: Imputation for microarray data | Balasubramanian Narasimhan |
ISLR | Data for An Introduction to Statistical Learning with Applications in R | Trevor Hastie |
ivmodel | Statistical Inference and Sensitivity Analysis for Instrumental Variables Model | Hyunseung Kang |
kerasformula | kerasformula: A High-Level R Interface for Neural Nets | Pete Mohanty |
knockoff | Knockoff Filter for Controlling the False Discovery Rate | Evan Patterson |
KRLS | Kernel-based Regularized Least squares (KRLS) | Jens Hainmueller |
lars | Least Angle Regression, Lasso and Forward Stagewise | Trevor Hastie |
locfdr | Computes Local False Discovery Rates | Balasubramanian Narasimhan |
LocFDRPois | Functions for Performing Local FDR Estimation when Null and Alternative are Poisson | Kris Sankaran |
lrgs | Linear Regression by Gibbs Sampling | Adam Mantz |
mda | Mixture and Flexible Discriminant Analysis | Trevor Hastie |
mdsdt | Functions for Analysis of Data with General Recognition Theory | Robert X.D. Hawkins |
MetaIntegrator | Meta-Analysis of Gene Expression Data | Winston A. Haynes |
MFKnockoffs | Model-Free Knockoff Filter for Controlled Variable Selection | Matteo Sesia |
modeval | Evaluation of Classification Model Options | Younggun You |
mRchmadness | Numerical Tools for Filling Out an NCAA Basketball Tournament Bracket | Eli Shayer |
nearfar | Near-Far Matching | Joseph Rigdon |
NetCluster | Clustering for networks | Sean J Westwood |
npmr | Nuclear Penalized Multinomial Regression | Scott Powers |
optismixture | Optimal Mixture Weights in Multiple Importance Sampling | Hera Y. He |
optrdd | Optimized Regression Discontinuity Designs | Stefan Wager |
orderedLasso | Ordered Lasso and Time-lag Sparse Regression | Xiaotong Suo |
PAC | Partition-Assisted Clustering and Multiple Alignments of Networks | Ye Henry Li |
pamr | Pam: prediction analysis for microarrays | Rob Tibshirani |
pcdpca | Dynamic Principal Components for Periodically Correlated Functional Time Series | Lukasz Kidzinski |
phyloseq | Handling and analysis of high-throughput microbiome census data | Paul J. McMurdie |
popRange | popRange: A spatially and temporally explicit forward genetic simulator | Kimberly F. McManus |
ProDenICA | Product Density Estimation for ICA using tilted Gaussian density estimates | Trevor Hastie |
prototest | Inference on Prototypes from Clusters of Features | Stephen Reid |
pscl | Political Science Computational Laboratory, Stanford University | Simon Jackman |
ptycho | Bayesian Variable Selection with Hierarchical Priors | Laurel Stell |
pweight | P-Value Weighting | Edgar Dobriban |
QuantileGradeR | Quantile-Adjusted Restaurant Grading | Zoe Ashwood |
RCA | Relational Class Analysis | Amir Goldberg |
RandMeta | Efficient Numerical Algorithm for Exact Inference in Meta Analysis | Lu Tian |
rda | Shrunken Centroids Regularized Discriminant Analysis | Rob Tibshirani |
Rdsdp | R Interface to DSDP Semidefinite Programming Library | Zhisu Zhu |
rgw | Goodman-Weare Affine-Invariant Sampling | Adam Mantz |
RImmPort | RImmPort: Enabling Ready-for-analysis Immunology Research Data | Ravi Shankar |
rolypoly | Identifying Trait-Relevant Functional Annotations | Diego Calderon |
samr | SAM: Significance Analysis of Microarrays | Rob Tibshirani |
sddpack | Semidiscrete Decomposition | Eric Sun |
selectiveInference | Tools for Post-Selection Inference | Rob Tibshirani |
SGL | Fit a GLM (or cox model) with a combination of lasso and group lasso regularization | Noah Simon |
sglr | An R package for power and boundary calculations in pre-licensure vaccine trials using a sequential generalized likelihood ratio test | Balasubramanian Narasimhan |
shuffle | The shuffle estimator for explainable variance | Yuval Benjamini |
sisVIVE | Some Invalid Some Valid Instrumental Variables Estimator | Hyunseung Kang |
SLOPE | Sorted L1 Penalized Estimation (SLOPE) | Evan Patterson |
softImpute | Matrix Completion via Iterative Soft-Thresholded SVD | Trevor Hastie |
sp23design | Design and Simulation of seamless Phase II-III Clinical Trials | Balasubramanian Narasimhan |
spade | SPADE -- An analysis and visualization tool for Flow Cytometry | Zach Bjornson |
sparsenet | Fit sparse linear regression models via nonconvex optimization | Trevor Hastie |
structSSI | Multiple Testing for Hypotheses with Hierarchical or Group Structure | Kris Sankaran |
superpc | Supervised principal components | Rob Tibshirani |
Sushi | Tools for visualizing genomics data | Douglas H Phanstiel |
svmpath | The SVM Path algorithm | Trevor Hastie |
Synth | Synthetic Control Group Method for Comparative Case Studies | Jens Hainmueller |
TANOVA | Time Course Analysis of Variance for Microarray | Weihong Xu |
uniCox | Univarate shrinkage prediction in the Cox model | Rob Tibshirani |
VDSPCalibration | Statistical Methods for Designing and Analyzing a Calibration Study | Lu Tian |