Package: lcsm 0.3.2
lcsm: Univariate and Bivariate Latent Change Score Modelling
Helper functions to implement univariate and bivariate latent change score models in R using the 'lavaan' package. For details about Latent Change Score Modeling (LCSM) see McArdle (2009) <doi:10.1146/annurev.psych.60.110707.163612> and Grimm, An, McArdle, Zonderman and Resnick (2012) <doi:10.1080/10705511.2012.659627>. The package automatically generates 'lavaan' syntax for different model specifications and varying timepoints. The 'lavaan' syntax generated by this package can be returned and further specifications can be added manually. Longitudinal plots as well as simplified path diagrams can be created to visualise data and model specifications. Estimated model parameters and fit statistics can be extracted as data frames. Data for different univariate and bivariate LCSM can be simulated by specifying estimates for model parameters to explore their effects. This package combines the strengths of other R packages like 'lavaan', 'broom', and 'semPlot' by generating 'lavaan' syntax that helps these packages work together.
Authors:
lcsm_0.3.2.tar.gz
lcsm_0.3.2.zip(r-4.5)lcsm_0.3.2.zip(r-4.4)lcsm_0.3.2.zip(r-4.3)
lcsm_0.3.2.tgz(r-4.4-any)lcsm_0.3.2.tgz(r-4.3-any)
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lcsm_0.3.2.tgz(r-4.4-emscripten)lcsm_0.3.2.tgz(r-4.3-emscripten)
lcsm.pdf |lcsm.html✨
lcsm/json (API)
NEWS
# Install 'lcsm' in R: |
install.packages('lcsm', repos = c('https://milanwiedemann.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/milanwiedemann/lcsm/issues
- data_bi_lcsm - Longitudinal dataset with repeated measures of two constructs
- data_uni_lcsm - Longitudinal dataset with repeated measures of one constructs
- lcsm_data - Longitudinal dataset with repeated measures of two constructs
Last updated 2 years agofrom:501d0d242f. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 23 2024 |
R-4.5-win | NOTE | Oct 23 2024 |
R-4.5-linux | NOTE | Oct 23 2024 |
R-4.4-win | NOTE | Oct 23 2024 |
R-4.4-mac | NOTE | Oct 23 2024 |
R-4.3-win | NOTE | Oct 23 2024 |
R-4.3-mac | NOTE | Oct 23 2024 |
Exports:%>%extract_fitextract_paramfit_bi_lcsmfit_uni_lcsmplot_lcsmplot_trajectoriesrename_lcsm_varsselect_bi_casesselect_uni_casessim_bi_lcsmsim_uni_lcsmspecify_bi_lcsmspecify_uni_lcsm
Dependencies:abindarmbackportsbase64encBHbootbroombslibcachemcarDatacheckmatecliclustercodacolorspacecorpcorcpp11data.tabledigestdplyrevaluatefansifarverfastmapfdrtoolfontawesomeforeignFormulafsgenericsggplot2glassoglueGPArotationgridExtragtablegtoolshighrHmischtmlTablehtmltoolshtmlwidgetsigraphisobandjpegjquerylibjsonliteknitrkutilslabelinglatticelavaanlifecyclelisrelToRlme4magrittrMASSMatrixmemoisemgcvmimimeminqamnormtmunsellmvtnormnlmenloptrnnetnumDerivOpenMxopenxlsxpbapplypbivnormpillarpkgconfigplyrpngpsychpurrrqgraphquadprogR6rappdirsRColorBrewerRcppRcppEigenRcppParallelreshape2rlangrmarkdownrockchalkrpartrpfrstudioapiRUnitsassscalessemsemPlotStanHeadersstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunXMLxtableyamlzip
Create path diagrams to visualise model specifications
Rendered fromv2-path-diagrams.Rmd
usingknitr::rmarkdown
on Oct 23 2024.Last update: 2021-07-10
Started: 2020-05-25
Generate lavaan syntax for latent change score models
Rendered fromv1-lavaan-syntax.Rmd
usingknitr::rmarkdown
on Oct 23 2024.Last update: 2021-07-10
Started: 2020-05-25
LCSM Parameters
Rendered fromlcsm-parameters.Rmd
usingknitr::rmarkdown
on Oct 23 2024.Last update: 2021-07-14
Started: 2021-07-10
Parameter estimates and fit statistics of LCSMs
Rendered fromv3-extract-tutorial.Rmd
usingknitr::rmarkdown
on Oct 23 2024.Last update: 2021-07-10
Started: 2020-06-03
Simulate data to explore the effect of different parameters
Rendered fromv4-simulate-data.Rmd
usingknitr::rmarkdown
on Oct 23 2024.Last update: 2023-01-30
Started: 2020-05-25
Visualise longitudinal data
Rendered fromv0-longitudinal-plots.Rmd
usingknitr::rmarkdown
on Oct 23 2024.Last update: 2020-06-03
Started: 2020-05-25