Add to ORKGIn this article, we describe lclogit, a Stata command for fitting a discrete-mixture or latent-class logit model via the expectation-maximization algorithm
Mixed logit is a widely used discrete outcome model that requires for the analyst to make three impo...
In this article, we describe the gmnl Stata command, which can be used to fit the generalized multin...
The conditional logistic regression model is the standard tool for the analysis of epidemiological s...
In this article, we describe lclogit, a Stata command for fitting a discrete-mixture or latent-class...
This paper describes Stata command lclogit2, an enhanced version of lclogit (Pacifico and Yoo, 2013)...
In this article, I provide an illustrative, step-by-step implementation of the expectation–maximizat...
This article describes the mixlogit Stata command for fitting mixed logit models by using maximum si...
Applications of random-parameter logit models can be found in various disciplines. These models have...
A number of authors have discussed the possible advantages of conditioning parameter distributions o...
© 2023 Shang et al. This is an open access article distributed under the terms of the Creative Commo...
mlogit is a package for R which enables the estimation of the multinomial logit models with individu...
This pdf contains a do file that shows how to estimate a latent class discrete choice panel data mod...
This paper introduces the logitr R package for fast maximum likelihood estimation of multinomial log...
Mixed logit models are a widely-used tool for studying discrete outcome problems. Modeling developme...
Latent Dirichlet Allocation (LDA) is a popular machine-learning technique that identifies latent str...
Mixed logit is a widely used discrete outcome model that requires for the analyst to make three impo...
In this article, we describe the gmnl Stata command, which can be used to fit the generalized multin...
The conditional logistic regression model is the standard tool for the analysis of epidemiological s...
In this article, we describe lclogit, a Stata command for fitting a discrete-mixture or latent-class...
This paper describes Stata command lclogit2, an enhanced version of lclogit (Pacifico and Yoo, 2013)...
In this article, I provide an illustrative, step-by-step implementation of the expectation–maximizat...
This article describes the mixlogit Stata command for fitting mixed logit models by using maximum si...
Applications of random-parameter logit models can be found in various disciplines. These models have...
A number of authors have discussed the possible advantages of conditioning parameter distributions o...
© 2023 Shang et al. This is an open access article distributed under the terms of the Creative Commo...
mlogit is a package for R which enables the estimation of the multinomial logit models with individu...
This pdf contains a do file that shows how to estimate a latent class discrete choice panel data mod...
This paper introduces the logitr R package for fast maximum likelihood estimation of multinomial log...
Mixed logit models are a widely-used tool for studying discrete outcome problems. Modeling developme...
Latent Dirichlet Allocation (LDA) is a popular machine-learning technique that identifies latent str...
Mixed logit is a widely used discrete outcome model that requires for the analyst to make three impo...
In this article, we describe the gmnl Stata command, which can be used to fit the generalized multin...
The conditional logistic regression model is the standard tool for the analysis of epidemiological s...