• LIMDEP

  • Referenced in 70 articles [sw04925]
  • estimation and analysis of linear and nonlinear models, with cross section, time series and panel ... analysis, frontier and efficiency estimation and discrete choice modeling. The collection of techniques and procedures ... software for the estimation and manipulation of discrete and limited dependent variable models, LIMDEP ... choice and limited dependent variable models, including models for binary, censored, truncated, survival, count, discrete...
  • AMPL

  • Referenced in 557 articles [sw04001]
  • linear and nonlinear optimization problems, in discrete or continuous variables. Developed at Bell Laboratories, AMPL ... notation and familiar concepts to formulate optimization models and examine solutions, while the computer manages ... model development, while its speed and control options make it an especially efficient choice...
  • LogMIP

  • Referenced in 21 articles [sw05035]
  • binary variables and disjunction definitions for modeling discrete choices. While the modeling and solution...
  • AMLET

  • Referenced in 14 articles [sw05628]
  • estimate multinomial and mixed logit discrete choices models, which are increasingly popular in econometry...
  • BIOGEME

  • Referenced in 10 articles [sw05049]
  • package for discrete choice (GEV) models ... designed for the estimation of discrete choice models. It allows the estimation of the parameters ... Cross-nested logit, Multivariate Extreme Value models, Discrete and continuous mixtures of Multivariate Extreme Value...
  • NLOGIT

  • Referenced in 2 articles [sw23678]
  • programs for the estimation of discrete choice models. It is built on the original DISCRETE...
  • RSGHB

  • Referenced in 2 articles [sw23112]
  • this code include the family of discrete choice models (Multinomial Logit, Mixed Logit, Nested Logit ... Latent Class) as well ordered response models like ordered probit and ordered logit. In addition ... Train’s chapter on HB in Discrete Choice with Simulation here: http://elsa.berkeley.edu/books/choice2.html;...
  • MNP

  • Referenced in 7 articles [sw10537]
  • multinomial probit model is often used to analyze the discrete choices made by individuals recorded...
  • Rchoice

  • Referenced in 3 articles [sw23114]
  • package Rchoice: Discrete Choice (Binary, Poisson and Ordered) Models with Random Parameters. An implementation...
  • funHDDC

  • Referenced in 14 articles [sw11130]
  • algorithm is proposed for determining both the model parameters and the group-specific functional subspaces ... groups and avoiding the uneasy choice of the discretization technique. In particular, funHDDC appears...
  • choix

  • Referenced in 1 article [sw26417]
  • models based on Luce’s choice axiom. These probabilistic models can be used to explain ... items, the model variant is usually referred to as the Bradley-Terry model ... items, the model variant is usually referred to as the Plackett-Luce model ... variation of the model arises when the data consists of discrete choices, i.e., we observe...
  • varrank

  • Referenced in 2 articles [sw23896]
  • compatible with discrete and continuous data which are discretised using a large choice of possible ... selection of the most representative variables for modeling a collection of variables of interest...
  • ModelCompare

  • Referenced in 1 article [sw22563]
  • discretized similarly, at blinding speeds. With ­ModelCompare, you can quickly compare two FE models within ... visualization tool of your choice ­without going through the burden of manually determining the differences...
  • AGX Dynamics

  • Referenced in 2 articles [sw27309]
  • portable code and is the obvious choice when you need to simulate mechanical constrained systems ... solid foundation of original scientific research, including discrete variational and physics based time integration methods ... hybrid equation solvers and novel multi-physics models. Therefore AGX Dynamics combines accuracy with speed...
  • ChoiceModelR

  • Referenced in 1 article [sw15186]
  • Choice Modeling in R. Implements an MCMC algorithm to estimate a hierarchical multinomial logit model ... each unit. Dependent variable may be discrete or continuous. Independent variables may be discrete...
  • PySCIPOpt

  • Referenced in 3 articles [sw15159]
  • programming, SCIP is often the software of choice: Its plug-in based design provides ... being state-of-the-art in academic discrete optimization. However, with its source written ... possible. We demonstrate how to intuitively model mixed-integer linear and quadratic optimization problems...
  • mod_binarymono.f90

  • Referenced in 1 article [sw29760]
  • solve a discrete problem with (n) states and (n) choices, the algorithm requires at most ... with many state and choice variables. In the sovereign default model of Arellano...
  • DIDASN++

  • Referenced in 2 articles [sw25293]
  • tool for supporting the final choice of the design, but much more as a tool ... various design options or even various modeling and simulation options.par The paper shows how multicriteria ... objective analysis of a model from the beginning stages of model construction. With the advancement ... approaches to modeling and simulation. Various formats of defining nonlinear and time-discrete models...
  • TADSim

  • Referenced in 0 articles [sw20723]
  • scale scientific applications using parallel discrete event simulation. Parameterized choices for the algorithmic method ... approach with a TADSim simulator that models the temperature-accelerated dynamics (TAD) method, an algorithmically...
  • Whittle Surrogate

  • Referenced in 1 article [sw22532]
  • useful to describe processes as sets of discrete states with probabilistic transitions. If a transition ... conditioned only on the present state the model is called a Markov chain ... transition probability. To create a Markov model from data one counts the occurrence of symbols ... transition probabilities in matrix form. Given the model one may wish to compute the likelihood...