• lcmm

  • Referenced in 13 articles [sw13207]
  • mixed models for curvilinear univariate or multivariate longitudinal outcomes using a maximum likelihood estimation method...
  • Mmm

  • Referenced in 6 articles [sw14558]
  • package for analyzing multivariate longitudinal data with multivariate marginal models. fits multivariate marginal models ... multivariate longitudinal data for both continuous and discrete responses...
  • joineRML

  • Referenced in 6 articles [sw19419]
  • package joineRML. Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes. Fits ... varying covariates. The multiple longitudinal outcomes are modelled using a multivariate version of the Laird...
  • MotionCharts

  • Referenced in 3 articles [sw27845]
  • Interactive and Dynamic Applet for Visualizing Longitudinal Multivariate Data. The amount, complexity and provenance ... multivariate data. This interactive data visualization tool enables the visualization of high-dimensional longitudinal data ... visualization paradigm using several publicly available multivariate datasets including Ice-Thickness, Housing Prices, Consumer Price...
  • tlmec

  • Referenced in 14 articles [sw11119]
  • multivariate-t distribution. Mixed-effects models are commonly used to fit longitudinal or repeated measures ... with censored response (NLMEC/LMEC) based on the multivariate Student-t distribution. An ECM algorithm ... mean and variance of a truncated multivariate-t distribution. The proposed algorithm is implemented ... package tlmec. It is applied to analyze longitudinal HIV viral load data in two recent...
  • gcmr

  • Referenced in 27 articles [sw07433]
  • validating the adequacy of the assumed multivariate model. Methodology is implemented in a R package ... applications regarding time series, cross-design data, longitudinal studies, survival analysis and spatial regression...
  • boostmtree

  • Referenced in 2 articles [sw20721]
  • package boostmtree: Boosted Multivariate Trees for Longitudinal Data. Implements Friedman’s gradient descent boosting algorithm ... longitudinal data using multivariate tree base learners. A time-covariate interaction effect is modeled using...
  • JGEE

  • Referenced in 1 article [sw36256]
  • joint generalized estimating equation models to multivariate longitudinal data...
  • mcglm

  • Referenced in 5 articles [sw23203]
  • covariance structures, including multivariate extensions of repeated measures, time series, longitudinal, spatial and spatio-temporal...
  • longclust

  • Referenced in 2 articles [sw20487]
  • classification of longitudinal data based on a mixture of multivariate t or Gaussian distributions with...
  • longQDA

  • Referenced in 1 article [sw20397]
  • cross-sectional data. Recently, the univariate longitudinal quadratic discriminant analysis (longQDA) was proposed for such ... unaddressed issues as model selection and several multivariate extensions. A complementary software implementation ... design and user requirements. Longitudinal biomarker data from diagnostic studies that are assessed for their ... more complex longitudinal models with random effects. Subsequently, we present multivariate extensions of long QDA.Two...
  • HETMIXSURV

  • Referenced in 1 article [sw21070]
  • program for the analysis of multivariate curvilinear possibly heterogeneous longitudinal outcomes and right-censored, left...
  • FISHER

  • Referenced in 1 article [sw27857]
  • multivariate normal model for pedigree and longitudinal data and the software ”FISHER ... continuous traits, using maximum likelihood under a multivariate normal assumption. FISHER is a software package ... easily adapted for repeated measures and longitudinal data analysis. A range of applications illustrate FISHER...
  • merlin

  • Referenced in 2 articles [sw34074]
  • multivariate outcome models of any type, each of which could be repeatedly measured (longitudinal), with ... seamlessly incorporated into the predictor. ’merlin’ allows multivariate normal random effects, which are integrated...
  • BAYESTAT

  • Referenced in 2 articles [sw17949]
  • multivariate probit, probit normal and hierarchical probit models (the last two for longitudinal data...
  • LPmade

  • Referenced in 3 articles [sw08065]
  • unsupervised link prediction methods. Link prediction in longitudinal data requires a sophisticated and disciplined procedure ... streamlines and automates the procedure for creating multivariate supervised link prediction models with a version...
  • S+ FDA

  • Referenced in 3 articles [sw10814]
  • functional data. Functional data analysis (FDA) handles longitudinal data and treats each observation ... data, are easily computed and used in multivariate and ther functional analytic methods.par The analyst...
  • mHMMbayes

  • Referenced in 1 article [sw41419]
  • multilevel HMM is tailored to accommodate (intense) longitudinal data of multiple individuals simultaneously ... model can be fitted on multivariate data with a categorical distribution, and include individual level...
  • SABRE

  • Referenced in 2 articles [sw24536]
  • Sabre has been used intensively on many longitudinal datasets surveys either with recurrent information collected ... software, see Berridge, D.M., Crouchley, R., (2011), Multivariate Generalized Linear Mixed Models Using...
  • stremr

  • Referenced in 0 articles [sw18479]
  • over time. Estimators (IPW, MSM-IPW, GCOMP, longitudinal TMLE) adjust for measured time-varying confounding ... binary, categorical or continuous. Each can be multivariate (e.g., can use more than one column...