Packaged: Tue Feb  3 21:35:33 2009; pierre

Packaged: Wed Mar  4 23:58:34 2009; pierre

Packaged: Sat Mar  7 00:56:42 2009; pierre

Depends: R (>= 2.0.0), sandwich, tseries, mvtnorm
Packaged: Tue Mar 10 15:35:41 2009; pierre

Title: Generalized Method of Moments and Generalized Empirical
Description: It is a complete suite to estimate models based on moment
conditions. It includes the two step Generalized method of
moments (GMM) of Hansen(1982), the iterated GMM and continuous
updated estimator (CUE) of Hansen-Eaton-Yaron(1996) and several
methods that belong to the Generalized Empirical Likelihood
(GEL) family of estimators, as presented by Smith(1997),
Packaged: Mon May 11 21:45:05 2009; pierre

Suggests: mvtnorm, car, fBasics, MASS, timeDate, timeSeries

Suggests: mvtnorm, car, fBasics, MASS, timeDate, timeSeries, gmmExtra

Suggests: mvtnorm, car, stabledist, MASS, timeDate, timeSeries

moments (Hansen 1982; <doi:10.2307/1912775>), the iterated GMM and continuous
updated estimator (Hansen, Eaton and Yaron 1996; <doi:10.2307/1392442>) and several
Imports: stats, methods, grDevices, graphics

Description: It is a complete suite to estimate models based on moment conditions. It includes the two step Generalized method of moments (Hansen 1982; <doi:10.2307/1912775>), the iterated GMM and continuous updated estimator (Hansen, Eaton and Yaron 1996; <doi:10.2307/1392442>) and several methods that belong to the Generalized Empirical Likelihood family of estimators (Smith 1997; <doi:10.1111/j.0013-0133.1997.174.x>, Kitamura 1997; <doi:10.1214/aos/1069362388>, Newey and Smith 2004; <doi:10.1111/j.1468-0262.2004.00482.x>, and Anatolyev 2005 <doi:10.1111/j.1468-0262.2005.00601.x>).

Suggests: knitr, mvtnorm, car, stabledist, MASS, timeDate, timeSeries

Title: Multinomial Logit Models with Random Parameters
Authors@R: c(person("Mauricio", "Sarrias", role = c("aut", "cre"),
person("Ricardo", "Daziano", role = "aut",
Description: An implementation of maximum simulated likelihood method for the estimation of multinomial logit models with
random coefficients. Specifically, it allows estimating models with continuous heterogeneity such as the mixed multinomial
logit and the generalized multinomial logit. It also allows estimating models with discrete heterogeneity
such as the latent class and the mixed-mixed multinomial logit model.
Imports: plotrix, msm, mlogit, truncnorm, stats
Packaged: 2015-02-22 20:58:55 UTC; mauriciosarrias