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Questions tagged [mlogit]

Multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems.

Multinomial Logistic Regression

In statistics, multinomial logistic regression is a classification method that generalizes logistic regression to multiclass problems, i.e. with more than two possible discrete outcomes. That is, it is a model that is used to predict the probabilities of the different possible outcomes of a categorically distributed dependent variable, given a set of independent variables (which may be real-valued, binary-valued, categorical-valued, etc.).

Multinomial logistic regression is known by a variety of other names, including multiclass LR, multinomial regression, softmax regression, multinomial logit, maximum entropy (MaxEnt) classifier, conditional maximum entropy model.

Source: http://en.wikipedia.org/wiki/Multinomial_logistic_regression

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Logit regression including year and industry fixed effects in Python

I am currently working with a dataframe containing financial information post IPO of traditional IPO firms as well as firms that went public through a SPAC merger, both in the years 2020 to 2022. I am trying to model the likelihood of a firm…
Marie-Pier St-Vincent
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Converting Choice data for multinomial models to long form

May be quite basic as I am new to R but I am struggling to get my data into the right format in order to use the mlogit function, tried both the tidyr and reshape2 packages and neither seems to be working. Essentially my data is the below…
mj10
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R mixed logit function: Error in if (abs(x - oldx) < ftol) { : missing value where TRUE/FALSE needed

any other idea for this? look my case: library("mlogit") library(readxl) DataSet <- read_excel("C:/Users/HP ProBook/OneDrive/OneDrive - Universidad de Costa Rica/Documentos/ECONOMÍA UCR/ECONOMÍA UNIVERSIDAD DE COSTA RICA/Seminario…
David Mora Salazar
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Is mixed logit model nonparametric model?

I've been reading the articles about mixed logit model, but I wonder whether mixed logit is one of the examples of nonparametric model.
ponponlu
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Rpackage mlogit multinomial model for discrete choice: Error in solve.default(H, g[!fixed])

I am trying to run a multinomial regression create a multinomial model for my discrete choice experiment regarding the recreational fishing permit system in South Africa. I keep receiving an error. My data is as follows: All column heads after…
Aidan du Preez
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Mlogit in R, Lapack routine dgesv: system is exactly singular error

I have been trying to run mlogit model on R and its giving me an error. I am new to R and can't find a solution for it. The code runs fine when I remove the Q23* columns from it. My dataset: library(mlogit) library(reshape2) library(dfidx) #Data…
Wahab Aftab
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system is computationally singular for mlogit after one hot encoding a variable

I'm building an mlogit model in R. The model works fine but when I add one-hot encoded variables it gives me the "system is computationally singular" which usually comes when correlation is high but my variables are one-hot encoded So Idk how that…
Wahab Aftab
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Ordered Logit with Fixed Effects in R

I am trying to implement fixed effects to ordered logit. I know there is a polr function of the MASS package but I have not found the way to implement fixed effects to polr function. I will use country and year as fixed effects. (I have almost 50…
Yusuf
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mlogit problem w/ control variables: Error in solve.default(H, g[!fixed]) : Lapack routine dgesv: system is exactly singular: U[6,6] = 0

I am trying to run a multinominal regression model but I keep getting the same error code (Title) when running the model with control variables (Age, Gender, Degree). Only Salary variable provides me with an output. CSlayer = CSlayer %>%…
Simen Sagli
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Unable to view dataframe after using dfidx

I am learning how to use mlogit package. These are some lines that appear as an example in a vignette of the package: data("Heating", package = "mlogit") H <- dfidx(Heating, choice = "depvar", varying = c(3:12)) However, when I want to view df H, I…
Daniel Ruiz
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multinomial logit

I'm stuck with running a multinomial logit regression in R. The data preview is attached for the reference. How should I run it? I'm new to R, and need to do this for applied econometrics using R. Can you help me with reshaping data and running…
kiyis_stats
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Predicting GLMs

After I split my data frame into a training and test set, I made 2 logit regression tables with the training set. Now I need to use those models to predict the outcome of the test set and use both models to create a table comparing the predicted vs…
Marie Sara
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Is there a way to get statistics of weights obtained from Tensorflow?

I am interested in developing a logit-based choice model using Tensorflow. I am fairly new to this tool, so I was wondering if there is a way to get the statistics (i.e., the p-value) of the weights obtained from Tensorflow , just like someone would…
Subin Park
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getting marginal effect post-estimation for nested logit using R mlogit package

I have estimated nested logit in R using the mlogit package. However, I encountered some problems when trying to estimate the marginal effect. Below is the code I implemented. library(mlogit) # data data2 = read.csv(file =…
Hamid
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error with dfidx: the two indexes don't define unique observations

I have collected data from a survey in order to perform a choice based conjoint analysis. I have preprocessed and clean data with python in order to use them in R. However, when I apply the function dfidx on the dataset I get the following error: …
Alberto De Benedittis
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