Package: DGP4LCF 1.0.0
DGP4LCF: Dependent Gaussian Processes for Longitudinal Correlated Factors
Functionalities for analyzing high-dimensional and longitudinal biomarker data to facilitate precision medicine, using a joint model of Bayesian sparse factor analysis and dependent Gaussian processes. This paper illustrates the method in detail: J Cai, RJB Goudie, C Starr, BDM Tom (2023) <doi:10.48550/arXiv.2307.02781>.
Authors:
DGP4LCF_1.0.0.tar.gz
DGP4LCF_1.0.0.tar.gz(r-4.5-noble)DGP4LCF_1.0.0.tar.gz(r-4.4-noble)
DGP4LCF.pdf |DGP4LCF.html✨
DGP4LCF/json (API)
# Install 'DGP4LCF' in R: |
install.packages('DGP4LCF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- sim_fcs_init - Initials values.
- sim_fcs_results_irregular_6_8 - Results when people have irregularly observed time points (some 6 while others 8).
- sim_fcs_results_regular_8 - Results when people are observed at common 8 time points.
- sim_fcs_truth - Truth of simulated data.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 months agofrom:ae46984161. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 25 2024 |
R-4.5-linux-x86_64 | OK | Nov 25 2024 |
Exports:factor_loading_heatmapfactor_score_trajectorygibbs_after_mcem_algorithmgibbs_after_mcem_combine_chainsgibbs_after_mcem_diff_initialsgibbs_after_mcem_load_chainsmcem_algorithmmcem_cov_plotmcem_parameter_setupnumerics_summary_do_not_need_alignmentnumerics_summary_need_alignmentsubject_specific_objectstable_generator
Dependencies:ashbitopscliclustercodacodetoolscolorspacecombinatcorrplotdeldirdeSolvedoParalleldotCall64evaluatefactor.switchingfansifarverfdafda.uscfdsfieldsFNNforeachggplot2glueGPFDAgtableHDIntervalhdrcdehighrinterpisobanditeratorskernlabKernSmoothknitrkskSampleslabelinglatticelifecyclelocfitlpSolvemagrittrmapsMASSMatrixMatrixModelsmclustmcmcMCMCpackmgcvmulticoolmunsellmvtnormnlmepcaPPpheatmappillarpkgconfigpracmaquantregR6rainbowRColorBrewerRcppRcppArmadilloRcppEigenRCurlrlangscalesspamSparseMSuppDistssurvivaltibbleutf8vctrsviridisLitewithrxfunyaml
An Example of Irregular Data Analysis
Rendered frombsfadgp_irregular_data_example.Rmd
usingknitr::rmarkdown
on Nov 25 2024.Last update: 2024-05-29
Started: 2024-05-29
An Example of Regular Data Analysis
Rendered frombsfadgp_regular_data_example.Rmd
usingknitr::rmarkdown
on Nov 25 2024.Last update: 2024-05-29
Started: 2024-05-29