Other packages > Find by keyword >

RprobitB  

Bayesian Probit Choice Modeling
View on CRAN: Click here


Download and install RprobitB package within the R console
Install from CRAN:
install.packages("RprobitB")

Install from Github:
library("remotes")
install_github("cran/RprobitB")

Install by package version:
library("remotes")
install_version("RprobitB", "1.1.4")



Attach the package and use:
library("RprobitB")
Maintained by
Lennart Oelschläger
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-05-15
Latest Update: 2022-11-06
Description:
Bayes estimation of probit choice models, both in the cross-sectional and panel setting. The package can analyze binary, multivariate, ordered, and ranked choices, as well as heterogeneity of choice behavior among deciders. The main functionality includes model fitting via Markov chain Monte Carlo m ethods, tools for convergence diagnostic, choice data simulation, in-sample and out-of-sample choice prediction, and model selection using information criteria and Bayes factors. The latent class model extension facilitates preference-based decider classification, where the number of latent classes can be inferred via the Dirichlet process or a weight-based updating heuristic. This allows for flexible modeling of choice behavior without the need to impose structural constraints. For a reference on the method see Oelschlaeger and Bauer (2021) .
How to cite:
Lennart Oelschläger (2021). RprobitB: Bayesian Probit Choice Modeling. R package version 1.1.4, https://cran.r-project.org/web/packages/RprobitB. Accessed 21 Dec. 2024.
Previous versions and publish date:
0.1.0 (2021-05-15 14:00), 0.1.1 (2021-05-25 10:10), 1.0.0 (2021-11-12 17:50), 1.1.0 (2022-07-22 13:00), 1.1.1 (2022-08-11 16:10), 1.1.2 (2022-11-06 18:40), 1.1.3 (2024-02-08 09:20)
Other packages that cited RprobitB R package
View RprobitB citation profile
Other R packages that RprobitB depends, imports, suggests or enhances
Complete documentation for RprobitB
Functions, R codes and Examples using the RprobitB R package
Some associated functions: M . R_hat . RprobitB . RprobitB_data . RprobitB_fit . RprobitB_gibbs_samples_statistics . RprobitB_latent_classes . RprobitB_normalization . RprobitB_parameter . WAIC . as_cov_names . check_form . check_prior . choice_berserk . choice_probabilities . classification . coef.RprobitB_fit . compute_choice_probabilities . compute_p_si . cov_mix . create_labels_Omega . create_labels_Sigma . create_labels_alpha . create_labels_b . create_labels_d . create_labels_s . create_lagged_cov . d_to_gamma . delta . dmvnorm . draw_from_prior . euc_dist . filter_gibbs_samples . fit_model . get_cov . gibbs_sampling . is_covariance_matrix . ll_ordered . missing_covariates . mml . model_selection . npar . overview_effects . parameter_labels . permutations . plot.RprobitB_data . plot.RprobitB_fit . plot_acf . plot_class_allocation . plot_mixture_contour . plot_mixture_marginal . plot_roc . point_estimates . posterior_pars . pprint . pred_acc . predict.RprobitB_fit . preference_flip . prepare_data . rdirichlet . rmvnorm . rtnorm . rttnorm . rwishart . set_initial_gibbs_values . simulate_choices . sufficient_statistics . train_test . transform . transform_gibbs_samples . transform_parameter . undiff_Sigma . update.RprobitB_fit . update_Omega . update_Sigma . update_U . update_U_ranked . update_b . update_classes_dp . update_classes_wb . update_d . update_m . update_reg . update_s . update_z . 
Some associated R codes: RcppExports.R . RprobitB_package.R . data_management.R . datasets.R . model_evaluation.R . model_fitting.R . model_selection.R . plot.R . utils.R .  Full RprobitB package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

condGEE  
Parameter Estimation in Conditional GEE for Recurrent Event Gap Times
Solves for the mean parameters, the variance parameter, and their asymptotic variance in a condition ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
SEIRfansy  
Extended Susceptible-Exposed-Infected-Recovery Model
Extended Susceptible-Exposed-Infected-Recovery Model for handling high false negative rate and symp ...
Download / Learn more Package Citations See dependency  
batteryreduction  
An R Package for Data Reduction by Battery Reduction
Battery reduction is a method used in data reduction. It uses Gram-Schmidt orthogonal rotations to f ...
Download / Learn more Package Citations See dependency  
CIFsmry  
Weighted summary of cumulative incidence functions
Estimate of cumulative incidence function in two samples. Provide weighted summary statistics based ...
Download / Learn more Package Citations See dependency  
helda  
Preprocess Data and Get Better Insights from Machine Learning Models
The main focus is on preprocessing and data visualization of machine learning models performances.So ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

© Copyright 2022 - present. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA