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r-maxlik
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public |
Functions for Maximum Likelihood (ML) estimation and non-linear optimization, and related tools. It includes a unified way to call different optimizers, and classes and methods to handle the results from the ML viewpoint. It also includes a number of convenience tools for testing and developing your own models.
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2025-03-25 |
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r-mailr
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public |
Interface to Apache Commons Email to send emails from R.
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2025-03-25 |
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r-loa
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public |
Various plots and functions that make use of the lattice/trellis plotting framework. The plots, which include loaPlot(), GoogleMap() and trianglePlot(), use panelPal(), a function that extends 'lattice' and 'hexbin' package methods to automate plot subscript and panel-to-panel and panel-to-key synchronization/management.
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2025-03-25 |
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r-lava
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public |
A general implementation of Structural Equation Models with latent variables (MLE, 2SLS, and composite likelihood estimators) with both continuous, censored, and ordinal outcomes (Holst and Budtz-Joergensen (2013) <doi:10.1007/s00180-012-0344-y>). Mixture latent variable models and non-linear latent variable models (Holst and Budtz-Joergensen (2019) <doi:10.1093/biostatistics/kxy082>). The package also provides methods for graph exploration (d-separation, back-door criterion), simulation of general non-linear latent variable models, and estimation of influence functions for a broad range of statistical models.
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2025-03-25 |
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r-irdisplay
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An interface to the rich display capabilities of 'Jupyter' front-ends (e.g. 'Jupyter Notebook') <https://jupyter.org>. Designed to be used from a running 'IRkernel' session <https://irkernel.github.io>.
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2025-03-25 |
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r-htmltable
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public |
Tables with state-of-the-art layout elements such as row spanners, column spanners, table spanners, zebra striping, and more. While allowing advanced layout, the underlying css-structure is simple in order to maximize compatibility with word processors such as 'MS Word' or 'LibreOffice'. The package also contains a few text formatting functions that help outputting text compatible with HTML/LaTeX.
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2025-03-25 |
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r-grpregoverlap
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Fit the regularization path of linear, logistic or Cox models with overlapping grouped covariates based on the latent group lasso approach. Latent group MCP/SCAD as well as bi-level selection methods, namely the group exponential lasso and the composite MCP are also available. This package serves as an extension of R package 'grpreg' (by Dr. Patrick Breheny <[email protected]>) for grouped variable selection involving overlaps between groups.
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2025-03-25 |
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r-gmm
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It is a complete suite to estimate models based on moment conditions. It includes the two step Generalized method of moments (Hansen 1982; <doi:10.2307/1912775>), the iterated GMM and continuous updated estimator (Hansen, Eaton and Yaron 1996; <doi:10.2307/1392442>) and several methods that belong to the Generalized Empirical Likelihood family of estimators (Smith 1997; <doi:10.1111/j.0013-0133.1997.174.x>, Kitamura 1997; <doi:10.1214/aos/1069362388>, Newey and Smith 2004; <doi:10.1111/j.1468-0262.2004.00482.x>, and Anatolyev 2005 <doi:10.1111/j.1468-0262.2005.00601.x>).
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2025-03-25 |
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r-glmnetutils
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Provides a formula interface for the 'glmnet' package for elasticnet regression, a method for cross-validating the alpha parameter, and other quality-of-life tools.
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2025-03-25 |
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r-ggm
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public |
Functions and datasets for maximum likelihood fitting of some classes of graphical Markov models.
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2025-03-25 |
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r-furrr
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public |
Implementations of the family of map() functions from 'purrr' that can be resolved using any 'future'-supported backend, e.g. parallel on the local machine or distributed on a compute cluster.
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2025-03-25 |
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r-fitdistrplus
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public |
Extends the fitdistr() function (of the MASS package) with several functions to help the fit of a parametric distribution to non-censored or censored data. Censored data may contain left censored, right censored and interval censored values, with several lower and upper bounds. In addition to maximum likelihood estimation (MLE), the package provides moment matching (MME), quantile matching (QME) and maximum goodness-of-fit estimation (MGE) methods (available only for non-censored data). Weighted versions of MLE, MME and QME are available. See e.g. Casella & Berger (2002). Statistical inference. Pacific Grove.
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2025-03-25 |
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r-ecfun
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public |
Functions to update data sets in Ecdat and to create, manipulate, plot and analyze those and similar data sets.
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2025-03-25 |
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r-dygraphs
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public |
An R interface to the 'dygraphs' JavaScript charting library (a copy of which is included in the package). Provides rich facilities for charting time-series data in R, including highly configurable series- and axis-display and interactive features like zoom/pan and series/point highlighting.
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2025-03-25 |
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r-drr
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public |
An Implementation of Dimensionality Reduction via Regression using Kernel Ridge Regression.
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2025-03-25 |
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r-diffusionmap
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public |
Implements diffusion map method of data parametrization, including creation and visualization of diffusion map, clustering with diffusion K-means and regression using adaptive regression model.
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2025-03-25 |
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r-dbitest
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A helper that tests 'DBI' back ends for conformity to the interface.
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2025-03-25 |
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r-clubsandwich
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Provides several cluster-robust variance estimators (i.e., sandwich estimators) for ordinary and weighted least squares linear regression models, including the bias-reduced linearization estimator introduced by Bell and McCaffrey (2002) <http://www.statcan.gc.ca/pub/12-001-x/2002002/article/9058-eng.pdf> and developed further by Pustejovsky and Tipton (2017) <DOI:10.1080/07350015.2016.1247004>. The package includes functions for estimating the variance- covariance matrix and for testing single- and multiple- contrast hypotheses based on Wald test statistics. Tests of single regression coefficients use Satterthwaite or saddle-point corrections. Tests of multiple- contrast hypotheses use an approximation to Hotelling's T-squared distribution. Methods are provided for a variety of fitted models, including lm() and mlm objects, glm(), ivreg (from package 'AER'), plm() (from package 'plm'), gls() and lme() (from 'nlme'), robu() (from 'robumeta'), and rma.uni() and rma.mv() (from 'metafor').
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2025-03-25 |
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r-cliapp
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public |
Create rich command line applications, with colors, headings, lists, alerts, progress bars, etc. It uses CSS for custom themes.
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2025-03-25 |
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r-chemometrics
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R companion to the book "Introduction to Multivariate Statistical Analysis in Chemometrics" written by K. Varmuza and P. Filzmoser (2009).
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2025-03-25 |
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r-cellranger
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Helper functions to work with spreadsheets and the "A1:D10" style of cell range specification.
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2025-03-25 |
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r-cccd
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Class Cover Catch Digraphs, neighborhood graphs, and relatives.
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2025-03-25 |
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r-bsda
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public |
Data sets for book "Basic Statistics and Data Analysis" by Larry J. Kitchens.
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2025-03-25 |
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r-bridgesampling
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Provides functions for estimating marginal likelihoods, Bayes factors, posterior model probabilities, and normalizing constants in general, via different versions of bridge sampling (Meng & Wong, 1996, <http://www3.stat.sinica.edu.tw/statistica/j6n4/j6n43/j6n43.htm>).
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2025-03-25 |
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r-bradleyterry2
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Specify and fit the Bradley-Terry model, including structured versions in which the parameters are related to explanatory variables through a linear predictor and versions with contest-specific effects, such as a home advantage.
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2025-03-25 |
