• CARBayes

  • Referenced in 10 articles [sw15288]
  • modelled by a set of random effects, which are assigned a conditional autoregressive (CAR) prior ... priors are available for the random effects, including a multivariate CAR (MCAR) model for multivariate...
  • coxme

  • Referenced in 12 articles [sw19055]
  • proportional hazards models containing Gaussian random effects, also known as frailty models...
  • Lmertest

  • Referenced in 11 articles [sw14397]
  • fixed effects, LR tests for random effects. The package also provides the calculation of population...
  • curvclust

  • Referenced in 6 articles [sw07435]
  • using splines to account for functional random effects. However, splines are not appropriate when dealing ... signal for both fixed and random effects. We propose an efficient dimension reduction step based ... using an appropriate structure for the random effect variance, we ensure that both fixed ... random effects lie in the same functional space even when dealing with irregular functions that...
  • joineR

  • Referenced in 11 articles [sw19777]
  • time-to-event data via random effects joint models. Some plotting functions and the variogram...
  • MSLiP

  • Referenced in 109 articles [sw01410]
  • adapted to the stochastic setting and their effect on computation times is investigated. The computer ... time periods and various types of random structures for the input data. Numerical results compare...
  • BayesTree

  • Referenced in 59 articles [sw07995]
  • posterior. Effectively, BART is a nonparametric Bayesian regression approach which uses dimensionally adaptive random basis ... regression function as well as the marginal effects of potential predictors. By keeping track...
  • glmmML

  • Referenced in 8 articles [sw07509]
  • models with clustered data: fixed and random effects models The statistical analysis of mixed effects ... random intercepts. It also allows for the estimation of a fixed effects model, assuming that ... implemented to replace asymptotic analysis. The random intercepts model is fitted using a maximum likelihood ... approximations of the likelihood function. The fixed effects model is fitted through a profiling approach...
  • MIXNO

  • Referenced in 9 articles [sw10546]
  • longitudinal design. For such data, the mixed-effects model assumes that data within clusters ... solution, the Cholesky factor of the random-effects variance-covariance matrix is estimated along with...
  • bayesSurv

  • Referenced in 9 articles [sw13221]
  • Survival Regression with Flexible Error and Random Effects Distributions. Contains Bayesian implementations of Mixed-Effects...
  • HGLMMM

  • Referenced in 6 articles [sw08092]
  • generalized linear models with random effects using the h-likelihood approach. The response variable ... gamma distribution. The distribution of random effects can be specified as Gaussian, gamma, inverse-gamma ... handled. Further, dispersion parameters of random components and the residual dispersion (overdispersion) can be modeled ... parameter can be fixed or estimated. Fixed effects in the mean structure can be estimated...
  • hglm

  • Referenced in 6 articles [sw15428]
  • generalized linear mixed models with random effects for a variety of links and a variety ... both the outcomes and the random effects. Fixed effects can also be fitted...
  • WFMM

  • Referenced in 6 articles [sw36436]
  • design matrix X and random effects matrix Z, and other parameters controlling the computation ... output nonparametric estimates of fixed and random effects functions that have been adaptively regularized...
  • frailtyHL

  • Referenced in 8 articles [sw19049]
  • proportional hazards models with random effects (or frailties). For the frailty distribution lognormal and gamma...
  • dhglm

  • Referenced in 5 articles [sw21272]
  • mean, dispersion parameters for variance of random effects, and residual variance (overdispersion) can be further ... modeled as random-effect models...
  • MIXREG

  • Referenced in 5 articles [sw24547]
  • analysis of clustered data, where the mixed-effects model assumes data within clusters are dependent ... solution, the covariance matrix of the random effects is expressed in its Gaussian decomposition ... exponential transformation. Estimation of the individual random effects is accomplished using an empirical Bayes approach...
  • CirCut

  • Referenced in 42 articles [sw04782]
  • Williamson randomized algorithm, as well as with a purely heuristic code for effectively solving ... practice than that of the Goemans--Williamson randomized algorithm. An extension to MAX-BISECTION...
  • npmlreg

  • Referenced in 7 articles [sw08191]
  • npmlreg: Nonparametric maximum likelihood estimation for random effect models. Nonparametric maximum likelihood estimation or Gaussian...
  • Expectreg

  • Referenced in 15 articles [sw14660]
  • regression of models with nonlinear effects e.g. spatial, random, ridge using least asymmetric weighed squares...
  • phmm

  • Referenced in 6 articles [sw19050]
  • PHMM). Fits proportional hazards model incorporating random effects using an EM algorithm using Markov Chain...