Package: DLFM 0.2.4

DLFM: Distributed Laplace Factor Model

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). <doi:10.1007/s00180-022-01270-z>.

Authors:Guangbao Guo [aut, cre], Siqi Liu [aut]

DLFM_0.2.4.tar.gz
DLFM_0.2.4.zip(r-4.7)DLFM_0.2.4.zip(r-4.6)DLFM_0.2.4.zip(r-4.5)
DLFM_0.2.4.tgz(r-4.6-any)DLFM_0.2.4.tgz(r-4.5-any)
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DLFM_0.2.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
DLFM/json (API)

# Install 'DLFM' in R:
install.packages('DLFM', repos = c('https://guangbaog.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.78 score 193 downloads 23 exports 3 dependencies

Last updated from:9887bd49c6. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK157
source / vignettesOK161
linux-release-x86_64OK108
macos-release-arm64OK89
macos-oldrel-arm64OK73
windows-develOK89
windows-releaseOK73
windows-oldrelOK77
wasm-releaseOK88

Exports:calculate_DAADfactor.testsDGulPCDIPCDPCDPPCDSAPCestimate_AD_from_OSDRfactor.testsFanPCfrobenius.normFtestgenerate_asymmetric_laplacegenerate_multivariate_laplacegenerate_skew_laplaceGulPCIPCLFMonline_sir_lfmosdr_lfmPCPPCSAPC

Dependencies:LaplacesDemonMASSmatrixcalc

Readme and manuals

Help Manual

Help pageTopics
AustralianAustralian
Bankruptcy databankruptcy
BreastBreast
Distance Between Column Spaces of Two Loading Matricescalculate_DAA
Concrete Slump Test Dataconcrete
Distributed Factor Model Testing with Wald, GRS, PY tests and FDR controlDfactor.tests
Distributed general unilateral loading principal componentDGulPC
Distributed Incremental Principal Component Analysis (DIPC)DIPC
Distributed principal componentDPC
Distributed projection principal componentDPPC
The distributed stochastic approximation principal component for handling online data sets with highly correlated data across multiple nodes.DSAPC
Estimate Factor Loadings and Uniquenesses from OSDR Outputestimate_AD_from_OSDR
Factor Model Testing with Wald, GRS, PY tests and FDR controlfactor.tests
Apply the FanPC method to the Laplace factor modelFanPC
Compute the Frobenius Norm of a Matrixfrobenius.norm
Apply the Farmtest method to the Laplace factor modelFtest
Generate Multivariate Asymmetric Laplace Random Vectorsgenerate_asymmetric_laplace
Generate Multivariate Symmetric Laplace Random Vectorsgenerate_multivariate_laplace
Generate Multivariate Skew Laplace Random Vectorsgenerate_skew_laplace
General unilateral loading principal componentGulPC
HeartHeart
ionosphere Dataionosphere
Incremental principal component methodIPC
Iris DataIris
Generate Laplace factor modelsLFM
New Energy Vehicle (NEV) Purchase Intention Survey Datanew_energy_vehicle
Online Sufficient Dimension Reduction for Laplace Factor Model (LFM)online_sir_lfm
Online Sufficient Dimension Reduction for Laplace Factor Models (OSDR-LFM)osdr_lfm
Principal componentPC
Projection principal componentPPC
Protein Secondary Structure Dataprotein
Reviewreview
Riboflavin Production Datariboflavin
Riboflavin Production Data (Top 100 Genes)riboflavinv100
The stochastic approximation principal component can handle online data sets with highly correlated.SAPC
SonarSonar
In Vehicle Coupon Recommendation Datavehicle
Wholesale Customers Datawholesale
Wine DataWine
Yacht Hydrodynamics Datayacht_hydrodynamics