This package implements higher order likelihood-based inference for logistic and loglinear models.
Deriving skill structures from skill assignment data for courses (sets of learning objects).
This package provides functions and Data to support Context Driven Exploratory Projection Pursuit.
This package provides functions and datasets from the book "Forest Analytics with R".
Statistical functions to fit, validate and describe a Generalized Waring Regression Model (GWRM).
This package provides functions for the fitting and summarizing of heteroscedastic t-regression.
Hierarchical and single-level non-negative matrix factorization. Several NMF algorithms are available.
This package provides a fast (C) implementation of the iterative proportional fitting procedure.
This package provides a Joint PENalty Estimation of Covariance and Inverse Covariance Matrices.
Assign and listen to keyboard shortcuts in shiny using the Mousetrap Javascript library.
Designing multi-arm multi-stage studies with (asymptotically) normal endpoints and known variance.
Learning a mixed directed acyclic graph based on both continuous and categorical data.
This package provides tools and functions to fit a multilevel index of dissimilarity.
Estimate the non-linear odds ratio and plot it against a continuous exposure.
Search and extract data from the Organization for Economic Cooperation and Development (OECD).
Estimate large covariance matrices in approximate factor models by thresholding principal orthogonal complements.
Testing the mediation effect of multiple SNPs on an outcome through a mediator.
Table, Listings, and Graphs (TLG) library for common outputs used in clinical trials.
Density, distribution function, the quantile function, random generation function, and maximum likelihood estimation.
This package provides methods and models for handling zero-inflated single cell assay data.
This tool detects batch effects in high-dimensional data based on chi^2-test.
This package provides convenience functions for analyzing factorial experiments using ANOVA or mixed models.
This package provides qualitatively constrained (regression) smoothing splines via linear programming and sparse matrices.
This package provides miscellaneous functions commonly used in other packages maintained by Yihui Xie.