lcmm

R package lcmm: Extended Mixed Models Using Latent Classes and Latent Processes: Estimation of various extensions of the mixed models including latent class mixed models, joint latent latent class mixed models and mixed models for curvilinear univariate or multivariate longitudinal outcomes using a maximum likelihood estimation method.

Keywords for this software

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References in zbMATH (referenced in 15 articles )

Showing results 1 to 15 of 15.
Sorted by year (citations)

  1. Jiang, Jiakun; Lin, Huazhen; Zhong, Qingzhi; Li, Yi: Analysis of multivariate non-Gaussian functional data: a semiparametric latent process approach (2022)
  2. Zhou, Ling; Sun, Shiquan; Fu, Haoda; Song, Peter X.-K.: Subgroup-effects models for the analysis of personal treatment effects (2022)
  3. Cong Xu, Pantelis Z. Hadjipantelis, Jane-Ling Wang: Semi-Parametric Joint Modeling of Survival and Longitudinal Data: The R Package JSM (2020) not zbMATH
  4. Viviane Philipps, Boris P Hejblum, Mélanie Prague, Daniel Commenges, Cécile Proust-Lima: Robust and Efficient Optimization Using a Marquardt-Levenberg Algorithm with R Package marqLevAlg (2020) arXiv
  5. Commenges, Daniel: Dealing with death when studying disease or physiological marker: the stochastic system approach to causality (2019)
  6. Alberto Garcia-Hernandez; Dimitris Rizopoulos: %JM: A SAS Macro to Fit Jointly Generalized Mixed Models for Longitudinal Data and Time-to-Event Responses (2018) not zbMATH
  7. Heggeseth, Brianna C.; Jewell, Nicholas P.: How Gaussian mixture models might miss detecting factors that impact growth patterns (2018)
  8. Jiang, Jiming; Rao, J. Sunil; Fan, Jie; Nguyen, Thuan: Classified mixed model prediction (2018)
  9. Agnieszka Król; Audrey Mauguen; Yassin Mazroui; Alexandre Laurent; Stefan Michiels; Virginie Rondeau: Tutorial in Joint Modeling and Prediction: A Statistical Software for Correlated Longitudinal Outcomes, Recurrent Events and a Terminal Event (2017) not zbMATH
  10. Danjie Zhang; Ming-Hui Chen; Joseph Ibrahim; Mark Boye; Wei Shen: JMFit: A SAS Macro for Joint Models of Longitudinal and Survival Data (2016) not zbMATH
  11. Cecile Proust-Lima, Viviane Philipps, Benoit Liquet: Estimation of extended mixed models using latent classes and latent processes: the R package lcmm (2015) arXiv
  12. Francis, Brian; Liu, Jiayi: Modelling escalation in crime seriousness: a latent variable approach (2015)
  13. Arnošt Komárek; Lenka Komárková: Capabilities of R Package mixAK for Clustering Based on Multivariate Continuous and Discrete Longitudinal Data (2014) not zbMATH
  14. Dimitris Rizopoulos: The R Package JMbayes for Fitting Joint Models for Longitudinal and Time-to-Event Data using MCMC (2014) arXiv
  15. Jones, Geoff: Book review of: D. Rizopoulos, Joint models for longitudinal and time-to-event data. With applications in R (2013)