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ptf  

Probit Tensor Factorization
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ptf", "0.0.1")



Attach the package and use:
library("ptf")
Maintained by
Ye Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-06-15
Latest Update:
Description:
Efficient algorithms to implement Probit Tensor Factorization (PTF) model for statistical relational learning, which not only inherits the computation efficiency from the classic tensor factorization model but also accounts for the binary nature of relational data. The methodology is based on Ye Liu (2021) "Computational Methods for Complex Models with Latent Structure".
How to cite:
Ye Liu (2021). ptf: Probit Tensor Factorization. R package version 0.0.1, https://cran.r-project.org/web/packages/ptf. Accessed 28 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:44), 0.0.1 (2021-06-15 16:50)
Other packages that cited ptf R package
View ptf citation profile
Other R packages that ptf depends, imports, suggests or enhances
Functions, R codes and Examples using the ptf R package
Some associated functions: Rescal . package-ptf . ptf . ptf_sparse . 
Some associated R codes: RcppExports.R . Rescal.R . package.R . ptf.R . ptf_sparse.R .  Full ptf package functions and examples
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