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codaredistlm
View on CRAN: Click
here
Download and install codaredistlm package within the R console
Install from CRAN:
install.packages("codaredistlm")
Install from Github:
library("remotes")
install_github("cran/codaredistlm")
Install by package version:
library("remotes")
install_version("codaredistlm", "0.1.0")
Attach the package and use:
library("codaredistlm")
Maintained by
Ty Stanford
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[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.codaredistlm . https://github.com/tystan/codaredistlm/issues . https://github.com/tystan/codaredistlm . codaredistlm results . codaredistlm.pdf . codaredistlm_0.1.0.tar.gz . codaredistlm_0.1.0.zip . codaredistlm_0.1.0.zip . codaredistlm_0.1.0.zip . codaredistlm_0.1.0.tgz . codaredistlm_0.1.0.tgz . codaredistlm_0.1.0.tgz . codaredistlm_0.1.0.tgz . codaredistlm_0.1.0.tgz . codaredistlm_0.1.0.tgz . https://CRAN.R-project.org/package=codaredistlm .
First Published: 2022-12-22
Latest Update: 2022-12-22
Description:
Provided data containing an outcome variable, compositional variables and additional covariates (optional); linearly regress the outcome variable on an isometric log ratio (ilr) transformation of the linearly dependent compositional variables. The package provides predictions (with confidence intervals) in the change (delta) in the outcome/response variable based on the multiple linear regression model and evenly spaced reallocations of the compositional values. The compositional data analysis approach implemented is outlined in Dumuid et al. (2017a) and Dumuid et al. (2017b) .
How to cite:
Ty Stanford (2022). codaredistlm: Compositional Data Linear Models with Composition Redistribution. R package version 0.1.0, https://cran.r-project.org/web/packages/codaredistlm. Accessed 11 Apr. 2025.
Previous versions and publish date:
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Complete documentation for codaredistlm
Functions, R codes and Examples using
the codaredistlm R package
Some associated functions: append_ilr_coords . check_input_args . check_strictly_positive_vals . cols_exist . compare_two_lm . create_comparison_matrix . create_v_mat . extract_lm_quantities . fairclough . fat_data . fit_lm . is_deltacomp_obj . is_lm_mod . is_null_or_na . plot_delta_comp . predict_delta_comps . print_ilr_trans .
Some associated R codes: append_ilr_coords.R . check_input_args.R . check_strictly_positive_vals.R . cols_exist.R . compare_two_lm.R . create_comparison_matrix.R . create_v_mat.R . extract_lm_quantities.R . fairclough.R . fat_data.R . fit_lm.R . get_all_comparison_mat.R . get_avg_covs.R . get_comp_type.R . get_delta_mat.R . get_mean_pred.R . get_pred_bounds.R . get_pred_deltas.R . get_realloc_nms.R . get_se_y0_star.R . get_x0_star.R . is_deltacomp_obj.R . is_lm_mod.R . is_null_or_na.R . plot_delta_comp.R . predict_delta_comps.R . print_ilr_trans.R . rm_na_data_rows.R . standardise_comps.R . Full codaredistlm package functions and examples
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