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.
Last updated 3 months ago
14.76 score 1 dependencies 2097 dependentsdistributions3 - 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.
Last updated 3 hours ago
100 stars 4.72 score 28 dependencies 7 dependentsexams2forms - Embedding 'exams' Exercises as Forms in 'rmarkdown' or 'quarto' Documents
Automatic generation of quizzes or individual questions as (interactive) forms within 'rmarkdown' or 'quarto' documents based on 'R/exams' exercises.
Last updated 1 months ago
1 stars 3.00 score 27 dependenciesc403 - Exam Tools for Department of Statistics (c403), Uni Innsbruck
Support tools for managing lectures and exams at Uni Innsbruck, specifically for automatic generation and evaluation of mathematics and statistics exams.
Last updated 1 months ago
1 stars 3.00 score 28 dependenciesivreg - 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.
Last updated 26 days ago
instrumental-variablesregression-diagnosticstwo-stage-least-squares-regression
16 stars 2.75 score 62 dependencies 4 dependentsbrtobit - Bias-Reduced Tobit Regression
Tobit models are regression models with a Gaussian response variable left-censored at zero, constant latent variance, and a latent mean that depends on covariates through a linear predictor. As an alternative to plain maximum likelihood estimation, the adjusted score equations of Kosmidis and Firth (2010) <doi:10.1214/10-ejs579> are utilized to obtain bias-reduced estimates of the model parameters.
Last updated 10 hours ago
2.27 score 19 dependenciesglmertree - 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>).
Last updated 30 days ago
2.09 score 17 dependencies 1 dependentscountreg - 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.
Last updated 1 months ago
5 stars 1.75 score 30 dependenciescirctree - Regression Trees and Forests for Circular Responses
Infrastructure for fitting distributional trees and forests based on maximum-likelihood estimation of parameters for a circular response, as well as regression methods for a circular response based on maximum-likelihood estimation are provided. For both approaches the von Mises distribution is employed as circular response distribution.
Last updated 30 days ago
1.45 score 39 dependencieslagsarlmtree - Spatial Lag Model Trees
Model-based linear model trees adjusting for spatial correlation using a simultaneous autoregressive spatial lag, Wagner and Zeileis (2019) <doi:10.1111/geer.12146>.
Last updated 30 days ago
1.45 score 36 dependenciesdisttree - Trees and Forests for Distributional Regression
Infrastructure for fitting distributional regression trees and forests based on maximum-likelihood estimation of parameters for specified distribution families, for example from the GAMLSS family.
Last updated 30 days ago
1.45 score 13 dependencies