Package: pompom 0.2.1

pompom: Person-Oriented Method and Perturbation on the Model

An implementation of a hybrid method of person-oriented method and perturbation on the model. Pompom is the initials of the two methods. The hybrid method will provide a multivariate intraindividual variability metric (iRAM). The person-oriented method used in this package refers to uSEM (unified structural equation modeling, see Kim et al., 2007, Gates et al., 2010 and Gates et al., 2012 for details). Perturbation on the model was conducted according to impulse response analysis introduced in Lutkepohl (2007). Kim, J., Zhu, W., Chang, L., Bentler, P. M., & Ernst, T. (2007) <doi:10.1002/hbm.20259>. Gates, K. M., Molenaar, P. C. M., Hillary, F. G., Ram, N., & Rovine, M. J. (2010) <doi:10.1016/j.neuroimage.2009.12.117>. Gates, K. M., & Molenaar, P. C. M. (2012) <doi:10.1016/j.neuroimage.2012.06.026>. Lutkepohl, H. (2007, ISBN:3540262393).

Authors:Xiao Yang [cre, aut], Nilam Ram [aut], Peter Molenaar [aut]

pompom_0.2.1.tar.gz
pompom_0.2.1.zip(r-4.5)pompom_0.2.1.zip(r-4.4)pompom_0.2.1.zip(r-4.3)
pompom_0.2.1.tgz(r-4.4-any)pompom_0.2.1.tgz(r-4.3-any)
pompom_0.2.1.tar.gz(r-4.5-noble)pompom_0.2.1.tar.gz(r-4.4-noble)
pompom_0.2.1.tgz(r-4.4-emscripten)pompom_0.2.1.tgz(r-4.3-emscripten)
pompom.pdf |pompom.html✨
pompom/json (API)

# Install 'pompom' in R:

install.packages('pompom', repos = c('https://vwendy.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

bootstrap_iRAM_2node - Bootstrapped iRAM
bootstrap_iRAM_3node - Bootstrapped iRAM
simts_2node - Simulated bivariate time-series data
simts_3node - Simulated 3-variate time-series data
true_beta_2node - The true beta matrix (4 by 4) used in simulation.
true_beta_3node - The true beta matrix (6 by 6) used in simulation.
usemmodelfit - Model fitbased on similated time-series by uSEM.

On CRAN:

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

9 exports 0.00 score 86 dependencies 23 scripts 167 downloads

Last updated 4 years agofrom:3df1a4ce86. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Sep 17 2024
R-4.5-win	OK	Sep 17 2024
R-4.5-linux	OK	Sep 17 2024
R-4.4-win	OK	Sep 17 2024
R-4.4-mac	OK	Sep 17 2024
R-4.3-win	OK	Sep 17 2024
R-4.3-mac	OK	Sep 17 2024

Exports:iRAM iRAM_equilibrium model_summary parse_beta plot_integrated_time_profile plot_iRAM_dist plot_network_graph plot_time_profile uSEM

Dependencies:abind backports base64enc bslib cachem checkmate cli cluster colorspace corpcor cpp11 data.table digest evaluate fansi farver fastmap fdrtool fontawesome foreign Formula fs ggplot2 glasso glue GPArotation gridExtra gtable gtools highr Hmisc htmlTable htmltools htmlwidgets igraph isoband jpeg jquerylib jsonlite knitr labeling lattice lavaan lifecycle magrittr MASS Matrix memoise mgcv mime mnormt munsell nlme nnet numDeriv pbapply pbivnorm pillar pkgconfig plyr png psych qgraph quadprog R6 rappdirs RColorBrewer Rcpp reshape2 rlang rmarkdown rpart rstudioapi sass scales stringi stringr tibble tinytex utf8 vctrs viridis viridisLite withr xfun yaml

Three-node Example to Compute iRAM (impulse response analysis metric)

Written by Xiao Yang

Rendered fromThree_node_exmaple.Rmdusingknitr::rmarkdownon Sep 17 2024.

Last update: 2021-02-14
Started: 2018-01-11

Help page	Topics
Bootstrapped iRAM (including replications of iRAM and corresponding time profiles) for the bivariate time-series (simts2node)	bootstrap_iRAM_2node
Bootstrapped iRAM (including replications of iRAM and corresponding time profiles) for the 3-variate time-series (simts)	bootstrap_iRAM_3node
Generate iRAM (impulse response anlaysis metric) from model fit.	iRAM
Generate iRAM (impulse response anlaysis metric) in the equilibrium form.	iRAM_equilibrium
Provide model summary.	model_summary
Parse the beta from model fit object	parse_beta
Plot the time profiles in the integrated form	plot_integrated_time_profile
Plot distribution of recovery time based on bootstrapped version of iRAM	plot_iRAM_dist
Plot the network graph	plot_network_graph
Plot time profiles given a time-series generated by impulse response analysis	plot_time_profile
Simulated bivariate time-series data	simts_2node
Simulated 3-variate time-series data	simts_3node
The true beta matrix (4 by 4) used in simulation.	true_beta_2node
The true beta matrix (6 by 6) used in simulation.	true_beta_3node
Fit a multivariate time series with uSEM (unified Structural Equation Model).	uSEM
Model fitbased on similated time-series by uSEM.	usemmodelfit

Package: pompom 0.2.1

pompom: Person-Oriented Method and Perturbation on the Model

Three-node Example to Compute iRAM (impulse response analysis metric)

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Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)