lmtest

R package lmtest: Testing Linear Regression Models , A collection of tests, data sets, and examples for diagnostic checking in linear regression models. Furthermore, some generic tools for inference in parametric models are provided. (Source: http://cran.r-project.org/web/packages)

Keywords for this software

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References in zbMATH (referenced in 13 articles )

Showing results 1 to 13 of 13.
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  1. Esam Mahdi: portes: An R Package for Portmanteau Tests in Time Series Models (2020) arXiv
  2. David Smith; Malcolm Faddy: Mean and Variance Modeling of Under-Dispersed and Over-Dispersed Grouped Binary Data (2019) not zbMATH
  3. Alicja Gosiewska; Przemyslaw Biecek: auditor: an R Package for Model-Agnostic Visual Validation and Diagnostic (2018) arXiv
  4. Brown, Jonathon D.: Advanced statistics for the behavioral sciences. A computational approach with R (2018)
  5. Stübinger, Johannes; Mangold, Benedikt; Krauss, Christopher: Statistical arbitrage with vine copulas (2018)
  6. Mukherjee, Partha Sarathi: On phase II monitoring of the probability distributions of univariate continuous processes (2016)
  7. Hrishikesh Vinod; Javier Lopez-de-Lacalle: Maximum Entropy Bootstrap for Time Series: The meboot R Package (2009) not zbMATH
  8. Achim Zeileis; Christian Kleiber; Simon Jackman: Regression Models for Count Data in R (2008) not zbMATH
  9. Ritz, Christian; Streibig, Jens Carl: Nonlinear regression with R (2008)
  10. Yves Croissant; Giovanni Millo: Panel Data Econometrics in R: The plm Package (2008) not zbMATH
  11. Arne Henningsen; Jeff Hamann: systemfit: A Package for Estimating Systems of Simultaneous Equations in R (2007) not zbMATH
  12. Achim Zeileis: Object-oriented Computation of Sandwich Estimators (2006) not zbMATH
  13. Pfaff, Bernhard: Analysis of integrated and cointegrated time series with R. (2006)