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bltm  

Bayesian Latent Threshold Modeling
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("bltm", "0.1.0")



Attach the package and use:
library("bltm")
Maintained by
Julio Trecenti
[Scholar Profile | Author Map]
First Published: 2019-07-18
Latest Update: 2019-07-18
Description:
Fits latent threshold model for simulated data and describes how to adjust model using real data. Implements algorithm proposed by Nakajima and West (2013) . This package has a function to generate data, a function to configure priors and a function to fit the model. Examples may be checked inside the demonstration files.
How to cite:
Julio Trecenti (2019). bltm: Bayesian Latent Threshold Modeling. R package version 0.1.0, https://cran.r-project.org/web/packages/bltm. Accessed 11 May. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited bltm R package
View bltm citation profile
Other R packages that bltm depends, imports, suggests or enhances
Complete documentation for bltm
Functions, R codes and Examples using the bltm R package
Some associated functions: create_prior_parameters . ltm_mcmc . ltm_sim . 
Some associated R codes: mcmc.R . samplers.R . simulate.R .  Full bltm package functions and examples
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