Statmod

R package statmod. A collection of algorithms and functions to aid statistical modeling. Includes growth curve comparisons, limiting dilution analysis (aka ELDA), mixed linear models, heteroscedastic regression, inverse-Gaussian probability calculations, Gauss quadrature and a secure convergence algorithm for nonlinear models. Includes advanced generalized linear model functions that implement secure convergence, dispersion modeling and Tweedie power-law families.


References in zbMATH (referenced in 19 articles , 1 standard article )

Showing results 1 to 19 of 19.
Sorted by year (citations)

  1. Cong Xu, Pantelis Z. Hadjipantelis, Jane-Ling Wang: Semi-Parametric Joint Modeling of Survival and Longitudinal Data: The R Package JSM (2020) not zbMATH
  2. Benedetti, R.; Andreano, M. S.; Piersimoni, F.: Sample selection when a multivariate set of size measures is available (2019)
  3. Bonat, Wagner Hugo; Lopes, José Evandeilton; Shimakura, Silvia Emiko; Ribeiro, Paulo Justiniano jun.: Likelihood analysis for a class of simplex mixed models (2018)
  4. Dunn, Peter K.; Smyth, Gordon K.: Generalized linear models with examples in R (2018)
  5. John Monaco; Malka Gorfine; Li Hsu: General Semiparametric Shared Frailty Model: Estimation and Simulation with frailtySurv (2018) not zbMATH
  6. Giordan, M.; Vaggi, F.; Wehrens, R.: On the maximization of likelihoods belonging to the exponential family using a Levenberg-Marquardt approach (2017)
  7. John V. Monaco, Malka Gorfine, Li Hsu: General Semiparametric Shared Frailty Model Estimation and Simulation with frailtySurv (2017) arXiv
  8. Ueckert, Sebastian; Mentré, France: A new method for evaluation of the Fisher information matrix for discrete mixed effect models using Monte Carlo sampling and adaptive Gaussian quadrature (2017)
  9. G. Giner, Gordon K. Smyth: statmod: Probability Calculations for the Inverse Gaussian Distribution (2016) arXiv
  10. Dylan Molenaar;Francis Tuerlinckx; Han van der Maas: Fitting Diffusion Item Response Theory Models for Responses and Response Times Using the R Package diffIRT (2015) not zbMATH
  11. Sengupta, Dishari; Choudhary, Pankaj K.; Cassey, Phillip: Modeling and analysis of method comparison data with skewness and heavy tails (2015)
  12. Choudhary, Pankaj K.; Sengupta, Dishari; Cassey, Phillip: A general skew-(t) mixed model that allows different degrees of freedom for random effects and error distributions (2014)
  13. Marco Geraci: Linear Quantile Mixed Models: The lqmm Package for Laplace Quantile Regression (2014) not zbMATH
  14. Karabatsos, George; Walker, Stephen G.: Adaptive-modal Bayesian nonparametric regression (2012)
  15. Klar, Bernhard; Meintanis, Simos G.: Specification tests for the response distribution in generalized linear models (2012)
  16. Matthews, J. N. S.; Philipson, P. M.: Optimal designs for threshold-determining limiting dilution assays (2012)
  17. Neykov, N. M.; Filzmoser, P.; Neytchev, P. N.: Robust joint modeling of mean and dispersion through trimming (2012)
  18. Kaas, Rob; Goovaerts, Marc; Dhaene, Jan; Denuit, Michel: Modern actuarial risk theory. Using R (2008)
  19. Ricci, Lila; Martínez, Raúl: Adjusted (R^2)-type measures for tweedie models (2008)