
LIMDEP
 Referenced in 77 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 617 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 22 articles
[sw05035]
 binary variables and disjunction definitions for modeling discrete choices. While the modeling and solution...

BIOGEME
 Referenced in 17 articles
[sw05049]
 general, with a special emphasis on discrete choice models. It relies on the package Python...

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

NLOGIT
 Referenced in 5 articles
[sw23678]
 programs for the estimation of discrete choice models. It is built on the original DISCRETE...

RSGHB
 Referenced in 5 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;...

IDCeMPy
 Referenced in 1 article
[sw39552]
 IDCeMPy: Python Package for Inflated Discrete Choice Models. IDCeMPy is a Python package that provides ... following distinct sets of “inflated” discrete choice models. Fit the ZeroInflated Ordered Probit (ZIOP ... assess the performance of each inflated discrete choice model in the package. IDCeMPy uses Newton ... optimization methods to estimate the inflated discrete choice models listed above via Maximum Likelihood Estimation...

MNP
 Referenced in 8 articles
[sw10537]
 multinomial probit model is often used to analyze the discrete choices made by individuals recorded...

funHDDC
 Referenced in 25 articles
[sw11130]
 algorithm is proposed for determining both the model parameters and the groupspecific functional subspaces ... groups and avoiding the uneasy choice of the discretization technique. In particular, funHDDC appears...

Rchoice
 Referenced in 5 articles
[sw23114]
 package Rchoice: Discrete Choice (Binary, Poisson and Ordered) Models with Random Parameters. An implementation...

sspecialreg
 Referenced in 1 article
[sw31883]
 Stata module to estimate binary choice model with discrete endogenous regressor via special regressor method...

ProbitSpatial
 Referenced in 3 articles
[sw37939]
 powerful and reliable models for the analysis of spatial discrete choice data. Since the explosion ... estimations of Spatial Autoregressive and Spatial Error Models under Probit specification. They are based...

Apollo
 Referenced in 1 article
[sw38396]
 choice models in R. Users are able to write their own model functions ... choices, can be incorporated for all models. There is support for both standalone models ... multiple discrete continuous models are covered in addition to discrete choice. Multithreading processing ... www.ApolloChoiceModelling.com>. For more information on choice models see Train, K. (2009) and Hess, S. & Daly...

PROC QLIM
 Referenced in 1 article
[sw40181]
 multivariate models. The multivariate model can contain discrete choice and limited endogenous variables in addition...

choix
 Referenced in 2 articles
[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 BradleyTerry model ... items, the model variant is usually referred to as the PlackettLuce model ... variation of the model arises when the data consists of discrete choices, i.e., we observe...

SchNet
 Referenced in 7 articles
[sw40890]
 continuousfilter convolutional neural network for modeling quantum interactions. Deep learning has the potential ... networks have proven to be the first choice for images, audio and video data ... discretized. Thus, we propose to use continuousfilter convolutional layers to be able to model...

idefix
 Referenced in 1 article
[sw36722]
 efficient designs for discrete choice experiments based on the multinomial logit model, and individually adapted...

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...

ChoiceModelR
 Referenced in 3 articles
[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...