• MLwiN

  • Referenced in 99 articles [sw04837]
  • statistical software package for fitting multilevel models. It uses both maximum likelihood estimation and Markov ... other additional features)[1]. MLwiN represents multilevel models using mathematical notation including Greek letters...
  • HLM

  • Referenced in 41 articles [sw06516]
  • linear and nonlinear models (also called multilevel models) have been developed to allow...
  • SparseMatrix

  • Referenced in 606 articles [sw04629]
  • geometry (optimization, circuit simulation, economic and financial modeling, theoretical and quantum chemistry, chemical process simulation ... matrices is provided, and a new multilevel coarsening scheme is proposed to facilitate this task...
  • brms

  • Referenced in 19 articles [sw19099]
  • Stan. Fit Bayesian generalized (non-)linear multilevel models using Stan for full Bayesian inference ... linear models all in a multilevel context. Further modeling options include auto-correlation and smoothing...
  • Mplus

  • Referenced in 323 articles [sw06511]
  • Mplus offers researchers a wide choice of models, estimators, and algorithms in a program that ... sectional and longitudinal data, single-level and multilevel data, data that come from different populations ... analyzed according to any of the models included in the program...
  • DAKOTA

  • Referenced in 64 articles [sw05202]
  • Multilevel Parallel Object-Oriented Framework for Design Optimization,Parameter Estimation, Uncertainty Quantification, and Sensitivity Analysis ... design and performance analysis of computational models on high performance computers...
  • mlirt

  • Referenced in 5 articles [sw24922]
  • Multilevel IRT Modeling in Practice with the Package mlirt. Variance component models are generally accepted ... model into account. The multilevel model can be extended to handle measurement error using ... multilevel IRT model. This extended multilevel model is in particular suitable for the analysis...
  • runmlwin

  • Referenced in 4 articles [sw23864]
  • Program to Run the MLwiN Multilevel Modeling Sofware From Within Stata. runmlwin is a Stata ... users to run the powerful MLwiN multilevel modelling software from within Stata. The multilevel models ... many of the more complex multilevel models available through the user written gllamm command. MLwiN ... following features: Estimation of multilevel models for continuous, binary, count, ordered categorical and unordered categorical...
  • cudaBayesreg

  • Referenced in 6 articles [sw24712]
  • CUDA Parallel Implementation of a Bayesian Multilevel Model for fMRI Data Analysis. Compute Unified Device ... CUDA implementation of a Bayesian multilevel model for the analysis of brain fMRI data...
  • M3D

  • Referenced in 7 articles [sw20555]
  • Plasma simulation studies using multilevel physics models. The question of how to proceed toward ever ... answer presented here is the M3D (Multilevel 3D) project, which has developed a code package ... more realistic. The rationale for the multilevel physics models is given. Each physics level...
  • multi2boolean

  • Referenced in 4 articles [sw25069]
  • available for analysis of strictly Boolean models. However, multilevel variables are often required to account ... development of conversion methods for multilevel to Boolean models. In particular, Van Ham’s method ... that have no counterpart in the multilevel, original model. This raises special difficulties ... method for the study of multilevel logical models...
  • MLn

  • Referenced in 3 articles [sw09593]
  • Parallel implementation of a multilevel modelling package. A portable parallel implementation of MLn, a multilevel...
  • jomo

  • Referenced in 4 articles [sw19482]
  • package jomo: Multilevel Joint Modelling Multiple Imputation. Similarly to Schafer’s package ’pan’, ’jomo ... package for multilevel joint modelling multiple imputation. Novel aspects of ’jomo’ are the possibility...
  • mlmRev

  • Referenced in 2 articles [sw24418]
  • package mlmRev: Examples from Multilevel Modelling Software Review. Data and examples from a multilevel modelling ... well-known data sets from the multilevel modelling literature...
  • ADMIXMAP

  • Referenced in 3 articles [sw13671]
  • ADMIXMAP is a general-purpose program for modelling admixture, using marker genotypes and trait data ... that ADMIXMAP is based on a multilevel model for the distribution of individual admixture...
  • PUMA

  • Referenced in 30 articles [sw22571]
  • allows for the rapid evaluation of novel models. An introduction ... found in M. A. Schweitzer. A Parallel Multilevel Partition of Unity Method for Elliptic Partial...
  • REALCOM

  • Referenced in 9 articles [sw18415]
  • REALCOM-IMPUTE Software for Multilevel Multiple Imputation with Mixed Response Types. Multiple imputation is becoming ... established as the leading practical approach to modelling partially observed data, under the assumption that ... multilevel, and this structure should be reflected not only in the model of interest ... imputation model. In particular, the imputation model should reflect the differences between level 1 variables...
  • 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...
  • TERRACE-TWO

  • Referenced in 2 articles [sw33451]
  • XLISP-STAT software package for estimating multilevel models: user’s guide, Technical Report, UCLA Department...
  • crlmm

  • Referenced in 2 articles [sw24830]
  • package crlmm implements a multilevel model that adjusts for batch effects and provides allele-specific...