logit-model

There are 21 repositories under logit-model topic.

  • logitr

    jhelvy/logitr

    Fast estimation of multinomial (MNL) and mixed logit (MXL) models in R with "Preference" space or "Willingness-to-pay" (WTP) space utility parameterizations in R

    Language:R4363615

  • Valmir-unicap/PET-Pickcells

    Projeto de Extensão Tecnológica (PET) - Equipe Gama

    Language:Jupyter Notebook8100

  • alan-turing-institute/discrete-choice

    Unifying interface for discrete choice modelling

    Language:Python3416

  • BendeguzBiksi/Master-Studies-Econometrics-II

    Master Degree Coursework: Econometrics II

    Language:Stata3103

  • drsquareminha/Aggregate-Latent-Class-Logit

    R code for estimation of latent class logit model with aggregate data

    Language:R2001

  • salilrsharma/GAMSlogit

    In this repository, a GAMS code is provided to estimate parameters of the logit model. We provide a code and sample data to solve for binary route choice model for truck drivers.

    Language:GAMS2000

  • vaitybharati/Assignment-06-Logistic-Regression

    Assignment-06-Logistic-Regression. Output variable -> y y -> Whether the client has subscribed a term deposit or not Binomial ("yes" or "no") Attribute information For bank dataset Input variables: # bank client data: 1 - age (numeric) 2 - job : type of job (categorical: "admin.","unknown","unemployed","management","housemaid","entrepreneur","student", "blue-collar","self-employed","retired","technician","services") 3 - marital : marital status (categorical: "married","divorced","single"; note: "divorced" means divorced or widowed) 4 - education (categorical: "unknown","secondary","primary","tertiary") 5 - default: has credit in default? (binary: "yes","no") 6 - balance: average yearly balance, in euros (numeric) 7 - housing: has housing loan? (binary: "yes","no") 8 - loan: has personal loan? (binary: "yes","no") # related with the last contact of the current campaign: 9 - contact: contact communication type (categorical: "unknown","telephone","cellular") 10 - day: last contact day of the month (numeric) 11 - month: last contact month of year (categorical: "jan", "feb", "mar", ..., "nov", "dec") 12 - duration: last contact duration, in seconds (numeric) # other attributes: 13 - campaign: number of contacts performed during this campaign and for this client (numeric, includes last contact) 14 - pdays: number of days that passed by after the client was last contacted from a previous campaign (numeric, -1 means client was not previously contacted) 15 - previous: number of contacts performed before this campaign and for this client (numeric) 16 - poutcome: outcome of the previous marketing campaign (categorical: "unknown","other","failure","success") Output variable (desired target): 17 - y - has the client subscribed a term deposit? (binary: "yes","no") 8. Missing Attribute Values: None

    Language:Jupyter Notebook2305

  • gkukish/CEO-Dismissal-Causal-Inference

    Researching the relationship between stock market performance and involuntary CEO dismissal.

    Language:Jupyter Notebook1100

  • magerton/OrderedResponse.jl

    Ordered logit and probit models

    Language:Julia1201

  • moon1863/Mode-choice-for-commodity-flow

    Prediction of freight transportation mode

    Language:Jupyter Notebook1100

  • shivaniramdas/Predictive-Analytics-SAS

    Estimated probability models that help target consumers to build brand loyalty

    Language:SAS1302

  • chomiczdawid/parametric-statistical-models

    This repository consist of analytical exercises about parametric statistical models done in Rmarkdown.

    Language:HTML0101

  • gkukish/CEO-Dismissal-Prediction

    Researching the relationship between stock market performance and involuntary CEO dismissal.

    Language:Jupyter Notebook0100

  • JuitingHu/The-attrition-of-Shanghai-Ctrip-call-centre

    Using R to analyse the relationship between variables and attrition in Shanghai Ctrip call centre's WFH data.

    Language:R0100

  • mx-eyebrows/Categorical-Analysis

    Final project for PHST 684 at the University of Louisville (Categorical Data Analysis)

    Language:R0100

  • nhb-uyen/Probit-logit-poisson

    Hypothesis Testing Assignment - Ordered choice model. Using probit, logit and Poisson models to solve problems based on economic theory.

    0200

  • PatilSukanya/Assignment-06.-Logistic-Regression

    Used libraries and functions as follows:

    Language:Jupyter Notebook0101

  • piazzai/chess-variants

    Analysis of Lichess variant games

    Language:R0200

  • RetroNumericMaster1929/Regression-Analysis-and-Generalized-Linear-Models

    Exclusive repository that contains code, simulations and practical examples of the main algorithms for Regression Analysis (v. gr. simple linear regression, multiple linear regression, polynomial regression, etc).

    0100

  • atecon/BMST

    Language:Makefile11

  • Yoonyoung-Cho/Telecom_Customer_Secession_Prediction_2019

    2019.12.18 개인프로젝트. 통신사 고객들의 이탈 예측

    Language:R