nlme

R package nlme: Linear and Nonlinear Mixed Effects Models , Fit and compare Gaussian linear and nonlinear mixed-effects models. (Source: http://cran.r-project.org/web/packages)

Keywords for this software

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References in zbMATH (referenced in 143 articles )

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  1. Cuadras, Carles M.; Greenacre, Michael: A short history of statistical association: from correlation to correspondence analysis to copulas (2022)
  2. Edgar Santos-Fernandez, Jay M. Ver Hoef, James M. McGree, Daniel J. Isaak, Kerrie Mengersen, Erin E. Peterson: SSNbayes: An R package for Bayesian spatio-temporal modelling on stream networks (2022) arXiv
  3. Murray, James; Philipson, Pete: A fast approximate EM algorithm for joint models of survival and multivariate longitudinal data (2022)
  4. Scutari, Marco; Denis, Jean-Baptiste: Bayesian networks. With examples in R (2022)
  5. Casa, Alessandro; Bouveyron, Charles; Erosheva, Elena; Menardi, Giovanna: Co-clustering of time-dependent data via the shape invariant model (2021)
  6. Erler, N. S., Rizopoulos, D., Lesaffre, E. M. E. H.: JointAI: Joint Analysis and Imputation of Incomplete Data in R (2021) not zbMATH
  7. García-Quismondo, Manuel; Hintz, William D.; Schuler, Matthew S.; Relyea, Rick A.: Modeling diel vertical migration with membrane computing (2021)
  8. Hadrien Charvat, Aurelien Belot: mexhaz: An R Package for Fitting Flexible Hazard-Based Regression Models for Overall and Excess Mortality with a Random Effect (2021) not zbMATH
  9. Hančová, Martina; Gajdoš, Andrej; Hanč, Jozef; Vozáriková, Gabriela: Estimating variances in time series kriging using convex optimization and empirical BLUPs (2021)
  10. Menictas, M.; Nolan, T. H.; Simpson, D. G.; Wand, M. P.: Streamlined variational inference for higher level group-specific curve models (2021)
  11. Mulder, J., Williams, D. R., Gu, X., Tomarken, A., Böing-Messing, F., Olsson-Collentine, A., Meijerink-Bosman, M., Menke, J., van Aert, R., Fox, J.-P., Hoijtink, H., Rosseel, Y., Wagenmakers, E.-J., van Lissa, C.: BFpack: Flexible Bayes Factor Testing of Scientific Theories in R (2021) not zbMATH
  12. Sharifian, Nastaran; Bahrami Samani, Ehsan: A joint model for mixed longitudinal (k)-category inflation ordinal and continuous responses (2021)
  13. Wollschläger, Daniel: R compact. The fast introduction into data analysis (2021)
  14. Akdur, Hatice Tul Kubra; Ozonur, Deniz; Bayrak, Hulya: An adaptation of pseudo-score confidence interval method for linear mixed models (2020)
  15. Barrientos, Andrés F.; Peña, Víctor: Bayesian bootstraps for massive data (2020)
  16. Cong Xu, Pantelis Z. Hadjipantelis, Jane-Ling Wang: Semi-Parametric Joint Modeling of Survival and Longitudinal Data: The R Package JSM (2020) not zbMATH
  17. Emma C. Martin, Alessandro Gasparini, Michael J. Crowther: merlin: An R package for Mixed Effects Regression for Linear, Nonlinear and User-defined models (2020) arXiv
  18. Galimberti, Giuliano; Soffritti, Gabriele: Seemingly unrelated clusterwise linear regression (2020)
  19. Kappenberg, Franziska; Rahnenführer, Jörg: Book review of: C. Ritz et al., Dose response analysis using R (2020)
  20. Mangalam, Madhur; Carver, Nicole S.; Kelty-Stephen, Damian G.: Global broadcasting of local fractal fluctuations in a bodywide distributed system supports perception via effortful touch (2020)

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