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LMMELSM
View on CRAN: Click
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Download and install LMMELSM package within the R console
Install from CRAN:
install.packages("LMMELSM")
Install from Github:
library("remotes")
install_github("cran/LMMELSM")
Install by package version:
library("remotes")
install_version("LMMELSM", "0.2.1")
Attach the package and use:
library("LMMELSM")
Maintained by
Stephen Martin
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[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.LMMELSM . https://github.com/stephenSRMMartin/LMMELSM/issues . LMMELSM results . LMMELSM.pdf . LMMELSM_0.2.1.tar.gz . LMMELSM_0.2.1.zip . LMMELSM_0.2.1.zip . LMMELSM_0.2.1.zip . LMMELSM_0.2.1.tgz . LMMELSM_0.2.1.tgz . LMMELSM_0.2.1.tgz . LMMELSM_0.2.1.tgz . LMMELSM archive . https://CRAN.R-project.org/package=LMMELSM .
First Published: 2021-03-13
Latest Update: 2022-12-15
Description:
In addition to modeling the expectation (location) of an outcome, mixed effects location scale models (MELSMs) include submodels on the variance components (scales) directly. This allows models on the within-group variance with mixed effects, and between-group variances with fixed effects. The MELSM can be used to model volatility, intraindividual variance, uncertainty, measurement error variance, and more. Multivariate MELSMs (MMELSMs) extend the model to include multiple correlated outcomes, and therefore multiple locations and scales. The latent multivariate MELSM (LMMELSM) further includes multiple correlated latent variables as outcomes. This package implements two-level mixed effects location scale models on multiple observed or latent outcomes, and between-group variance modeling. Williams, Martin, Liu, and Rast (2020) . Hedeker, Mermelstein, and Demirtas (2008) .
How to cite:
Stephen Martin (2021). LMMELSM: Fit Latent Multivariate Mixed Effects Location Scale Models. R package version 0.2.1, https://cran.r-project.org/web/packages/LMMELSM. Accessed 10 May. 2025.
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Complete documentation for LMMELSM
Functions, R codes and Examples using
the LMMELSM R package
Some associated functions: LMMELSM-package . coef.lmmelsm . dot-add_group_codings . dot-combine_RHS . dot-detect_L2_only . dot-full_to_lower_tri . dot-get_LHS . dot-get_RHS . dot-get_elapsed_time . dot-get_formula_names . dot-get_indicator_spec . dot-list_zip . dot-magicsep . dot-newline . dot-pars_to_indices . dot-parse_formula.indicators . dot-parse_formula . dot-parse_formula.predictor . dot-sep . dot-simulate.X . dot-summarize . dot-summary_rearrange . dot-tidy_summary . dot-which_location_scale . fitted.lmmelsm . grapes-IfNull-grapes . lmmelsm . loo.lmmelsm . nlist . predict.lmmelsm . print.lmmelsm . print.summary.lmmelsm . ranef.lmmelsm . row_multiply_list_mats . sim_data . simulate_lmmelsm . summary.lmmelsm .
Some associated R codes: LMMELSM-package.R . data.R . latentMelsm.R . loo.R . mathutils.R . predict.R . print.R . ranef.R . simulate.R . stanmodels.R . utility.R . Full LMMELSM package functions and examples
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