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DLFM (version 0.2.3)

Distributed Laplace Factor Model

Description

Distributed estimation method is based on a Laplace factor model to solve the estimates of load and specific variance. The philosophy of the package is described in Guangbao Guo. (2022). .

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Version

Install

install.packages('DLFM')

Monthly Downloads

299

Version

0.2.3

License

MIT + file LICENSE

Maintainer

Guangbao Guo

Last Published

March 6th, 2026

Functions in DLFM (0.2.3)

Wine

Wine Data
Sonar

Sonar
osdr_lfm

Online Sufficient Dimension Reduction for Laplace Factor Models (OSDR-LFM)
bankruptcy

Bankruptcy data
PC

Principal component
wholesale

Wholesale Customers Data
riboflavin

Riboflavin Production Data
LFM

Generate Laplace factor models
online_sir_lfm

Online Sufficient Dimension Reduction for Laplace Factor Model (LFM)
new_energy_vehicle

New Energy Vehicle (NEV) Purchase Intention Survey Data
yacht_hydrodynamics

Yacht Hydrodynamics Data
review

Review
protein

Protein Secondary Structure Data
factor.tests

Factor Model Testing with Wald, GRS, PY tests and FDR control
ionosphere

ionosphere Data
vehicle

In Vehicle Coupon Recommendation Data
riboflavinv100

Riboflavin Production Data (Top 100 Genes)
concrete

Concrete Slump Test Data
DPPC

Distributed projection principal component
Breast

Breast
DGulPC

Distributed general unilateral loading principal component
DSAPC

The distributed stochastic approximation principal component for handling online data sets with highly correlated data across multiple nodes.
FanPC

Apply the FanPC method to the Laplace factor model
DPC

Distributed principal component
DIPC

Distributed Incremental Principal Component Analysis (DIPC)
Ftest

Apply the Farmtest method to the Laplace factor model
Dfactor.tests

Distributed Factor Model Testing with Wald, GRS, PY tests and FDR control
Australian

Australian
IPC

Incremental principal component method
GulPC

General unilateral loading principal component
Heart

Heart
Iris

Iris Data
PPC

Projection principal component
SAPC

The stochastic approximation principal component can handle online data sets with highly correlated.