zoo - S3 Infrastructure for Regular and Irregular Time Series (Z's Ordered Observations)
An S3 class with methods for totally ordered indexed observations. It is particularly aimed at irregular time series of numeric vectors/matrices and factors. zoo's key design goals are independence of a particular index/date/time class and consistency with ts and base R by providing methods to extend standard generics.
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16.56 score 3.0k dependents 40k scripts 835k downloadsdistributions3 - Probability Distributions as S3 Objects
Tools to create and manipulate probability distributions using S3. Generics pdf(), cdf(), quantile(), and random() provide replacements for base R's d/p/q/r style functions. Functions and arguments have been named carefully to minimize confusion for students in intro stats courses. The documentation for each distribution contains detailed mathematical notes.
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11.97 score 107 stars 12 dependents 146 scripts 6.4k downloads
ivreg - Instrumental-Variables Regression by '2SLS', '2SM', or '2SMM', with Diagnostics
Instrumental variable estimation for linear models by two-stage least-squares (2SLS) regression or by robust-regression via M-estimation (2SM) or MM-estimation (2SMM). The main ivreg() model-fitting function is designed to provide a workflow as similar as possible to standard lm() regression. A wide range of methods is provided for fitted ivreg model objects, including extensive functionality for computing and graphing regression diagnostics in addition to other standard model tools.
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instrumental-variablesregression-diagnosticstwo-stage-least-squares-regression
10.84 score 25 stars 4 dependents 636 scripts 15k downloadsglmertree - Generalized Linear Mixed Model Trees
Recursive partitioning based on (generalized) linear mixed models (GLMMs) combining lmer()/glmer() from 'lme4' and lmtree()/glmtree() from 'partykit'. The fitting algorithm is described in more detail in Fokkema, Smits, Zeileis, Hothorn & Kelderman (2018; <DOI:10.3758/s13428-017-0971-x>). For detecting and modeling subgroups in growth curves with GLMM trees see Fokkema & Zeileis (2024; <DOI:10.3758/s13428-024-02389-1>).
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6.44 score 3 dependents 51 scripts 5.0k downloadscountreg - Count Data Regression
Regression models for count data, including negative binomial, zero-inflated, zero-truncated, and hurdle models. Drivers for combination with flexmix and mboost are also provided. Previously available functions for graphical goodness-of-fit assessment (rootograms etc.) are now provided in the 'topmodels' package on R-Forge.
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5.45 score 6 stars 236 scriptsglmx - Generalized Linear Models Extended
Extended techniques for generalized linear models (GLMs), especially for binary responses, including parametric links and heteroscedastic latent variables.
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5.20 score 4 dependents 51 scripts 5.1k downloadsfortunes - R Fortunes
A collection of fortunes from the R community.
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5.00 score 202 scripts 5.0k downloadsglogis - Fitting and Testing Generalized Logistic Distributions
Tools for the generalized logistic distribution (Type I, also known as skew-logistic distribution), encompassing basic distribution functions (p, q, d, r, score), maximum likelihood estimation, and structural change methods.
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4.32 score 2 dependents 31 scripts 3.7k downloads

