• HLM

  • Referenced in 44 articles [sw06516]
  • Hierarchical Linear and Nonlinear Modeling (HLM). In social research and other fields, research data often ... have a hierarchical structure. That is, the individual subjects of study may be classified ... such data requires specialized software. Hierarchical linear and nonlinear models (also called multilevel models) have ... outcome variables that generate a linear model with explanatory variables that account for variations...
  • ADVI

  • Referenced in 27 articles [sw34040]
  • assumptions and support a broad class of models. The algorithm automatically determines an appropriate variational ... ADVI to MCMC sampling across hierarchical generalized linear models, nonconjugate matrix factorization, and a mixture...
  • dhglm

  • Referenced in 7 articles [sw21272]
  • package dhglm: Double Hierarchical Generalized Linear Models. Double hierarchical generalized linear models in which...
  • hglm

  • Referenced in 7 articles [sw15428]
  • package hglm: Hierarchical Generalized Linear Models. Procedures for fitting hierarchical generalized linear models (HGLM...
  • cudaBayesreg

  • Referenced in 6 articles [sw24712]
  • model implements a Gibbs Sampler for hierarchical linear models with a normal prior. This model...
  • gRbase

  • Referenced in 13 articles [sw10198]
  • datasets used in the book Graphical Models with R (2012) are contained in gRbase. gRbase ... conditional independence. gRbase illustrates how hierarchical log-linear models (hllm) may be implemented and describes...
  • mdhglm

  • Referenced in 3 articles [sw15647]
  • package mdhglm: Multivariate Double Hierarchical Generalized Linear Models. Allows various models for multivariate response variables ... assumed to follow double hierarchical generalized linear models. In double hierarchical generalized linear models...
  • XMP

  • Referenced in 47 articles [sw36272]
  • hierarchically structured library of FORTRAN subroutines for linear programming. Its purpose is to facilitate algorithmic ... research and model development in operations research and related disciplines. The intended audience...
  • HGLMMM

  • Referenced in 6 articles [sw08092]
  • Hierarchical generalized linear models: the R package HGLMMM. The R package HGLMMM has been developed...
  • lqmm

  • Referenced in 12 articles [sw14399]
  • Linear Quantile Mixed Models. This is a collection of functions to fit quantile regression models ... independent and hierarchical data...
  • HLMdiag

  • Referenced in 2 articles [sw24146]
  • package HLMdiag: Diagnostic Tools for Hierarchical (Multilevel) Linear Models. A suite of diagnostic tools ... hierarchical (multilevel) linear models. The tools include not only leverage and traditional deletion diagnostics (Cook...
  • Bambi

  • Referenced in 2 articles [sw36562]
  • easy to specify complex generalized linear hierarchical models using a formula notation similar to those...
  • HDDM

  • Referenced in 11 articles [sw16420]
  • Python-based toolbox called HDDM (hierarchical drift diffusion model), which allows fast and flexible estimation ... related linear ballistic accumulator model. HDDM requires fewer data per subject/condition than non-hierarchical methods...
  • brolgar

  • Referenced in 1 article [sw36223]
  • data is often modelled with a hierarchical linear model to capture the overall trends...
  • glinternet

  • Referenced in 12 articles [sw18380]
  • Hierarchical Group-Lasso Regularization. Group-Lasso INTERaction-NET. Fits linear pairwise-interaction models that satisfy ... described in the paper ”Learning interactions via hierarchical group-lasso regularization” (JCGS 2015, Volume...
  • PinT

  • Referenced in 1 article [sw27819]
  • estimates of fixed effect parameters in hierarchical linear models with two levels. The formulae...
  • hierinf

  • Referenced in 4 articles [sw33471]
  • package hierinf - Hierarchical Inference: Tools to perform hierarchical inference for one or multiple studies / data ... dimensional multivariate (generalised) linear models. A possible application is to perform hierarchical inference...
  • hmmm

  • Referenced in 12 articles [sw07947]
  • Rudas (2002) here called hierarchical multinomial marginal models (hmmm) and their extensions presented by Bartolucci ... multinomial Poisson homogeneous (mph) models and homogeneous linear predictor (hlp) models for contingency tables proposed...
  • glmmBUGS

  • Referenced in 7 articles [sw13217]
  • Linear Mixed Models and Spatial Models with WinBUGS, BRugs, or OpenBUGS. Write bugs model files ... hierarchical and spatial models, arranges unbalanced data in ragged arrays, and creates starting values...
  • BootErrorLossReserveHGLM

  • Referenced in 1 article [sw31407]
  • used in practice applies the generalized linear model (GLM). In the literature one can find ... hierarchical generalized linear model (HGLM) for loss reserving. A limitation...