• R

  • Referenced in 8728 articles [sw00771]
  • wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification ... language is often the vehicle of choice for research in statistical methodology, and R provides...
  • Mplus

  • Referenced in 339 articles [sw06511]
  • Mplus is a statistical modeling program that provides researchers with a flexible tool to analyze ... data. Mplus offers researchers a wide choice of models, estimators, and algorithms in a program...
  • AMPL

  • Referenced in 594 articles [sw04001]
  • model development, while its speed and control options make it an especially efficient choice...
  • LIMDEP

  • Referenced in 76 articles [sw04925]
  • estimation and analysis of linear and nonlinear models, with cross section, time series and panel ... frontier and efficiency estimation and discrete choice modeling. The collection of techniques and procedures ... linear regression model, and stochastic frontier, discrete choice and limited dependent variable models, including models...
  • MrBayes

  • Referenced in 56 articles [sw07715]
  • program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary...
  • ANSYS-CFX

  • Referenced in 100 articles [sw06391]
  • foundation for an abundant choice of physical models to capture virtually any type of phenomena...
  • LogMIP

  • Referenced in 22 articles [sw05035]
  • binary variables and disjunction definitions for modeling discrete choices. While the modeling and solution...
  • Formula

  • Referenced in 18 articles [sw23410]
  • specific and individual-specific variables in choice models among many others. The R package Formula...
  • mi

  • Referenced in 26 articles [sw10551]
  • imputations. These features include: choice of predictors, models, and transformations for chained imputation models; standard...
  • ARMC

  • Referenced in 27 articles [sw04949]
  • ARMC: The Logical Choice for Software Model Checking with Abstraction Refinement. Software model checking with ... choice we have built such a tool, called ARMC (for Abstraction Refinement Model Checking), which...
  • SuSpect

  • Referenced in 25 articles [sw00933]
  • AMSB) or gauge (GMSB) mediated supersymmetry breaking models, but also in the non-universal MSSM ... space with several possible options and choices for model assumptions and approximations...
  • AMLET

  • Referenced in 15 articles [sw05628]
  • estimate multinomial and mixed logit discrete choices models, which are increasingly popular in econometry...
  • BIOGEME

  • Referenced in 11 articles [sw05049]
  • package for discrete choice (GEV) models ... designed for the estimation of discrete choice models. It allows the estimation of the parameters...
  • TAXYS

  • Referenced in 21 articles [sw01389]
  • model of timed automata. The choice of this model allows the use of results, algorithms...
  • invGauss

  • Referenced in 121 articles [sw11207]
  • been randomized with a Gaussian distribution. The model allows covariates to influence starting values ... towards a barrier, with a user-defined choice of link functions...
  • spikeSlabGAM

  • Referenced in 8 articles [sw07415]
  • package spikeSlabGAM: Bayesian variable selection and model choice for generalized additive mixed models. Bayesian variable ... selection, model choice, and regularized estimation for (spatial) generalized additive mixed regression models via SSVS...
  • MARKEX

  • Referenced in 10 articles [sw10912]
  • statistical analysis, preference analysis, and consumer choice models. MARKEX incorporates partial knowledge bases to support...
  • nlr

  • Referenced in 9 articles [sw05244]
  • nonlinear predictors (“nonlinear GLIM”), and probabilistic choice models, such as linear-in-parameter multinomial probit...
  • CDM

  • Referenced in 10 articles [sw15877]
  • group (polytomous) GDINA model, the multiple choice DINA model, the general diagnostic model...
  • DIYABC

  • Referenced in 8 articles [sw21021]
  • sequence data, (ii) efficient Bayesian model choice using linear discriminant analysis on summary statistics...