CRAN/E | ptf

ptf

Probit Tensor Factorization

Installation

About

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".

Key Metrics

Version 0.0.1
Published 2021-06-15 1053 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks ptf results

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Maintainer

Maintainer

Ye Liu

yliu87@ncsu.edu

Authors

Ye Liu

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Imports

Rcpp ≥ 0.12.9
Matrix ≥ 1.2
rARPACK ≥ 0.11
plyr ≥1.8.4

LinkingTo

Rcpp
RcppArmadillo