R: Compositional Data Linear Models with Composition Redistribution

# Compositional Data Linear Models with Composition Redistribution

## Documentation for package ‘codaredistlm’ version 0.1.0

- DESCRIPTION file.

## Help Pages

append_ilr_coords | Add ILR coordinates to a data.frame containing composition variables
check_input_args | Sanity checks for arguments passed to predict_delta_comps()
check_strictly_positive_vals | Check if compositional variable are strictly greater than 0
cols_exist | Check whether columns exist in a data.frame
compare_two_lm | Statistical test of the collective significance of the ilr variables
create_comparison_matrix | Creates row-wise perturbations of compositions from the mean composition
create_v_mat | Create ilr basis matrix (V)
extract_lm_quantities | Extract critical quantities from a lm object (for confidence interval calculations)
fairclough | Data from Fairclough (2017). Fitness, fatness and the reallocation of time between children's daily movement behaviours: an analysis of compositional data
fat_data | Randomly generated data to simulate child fat percentage regressed on time-use compositional data
fit_lm | fit linear model based on input data.frame
is_deltacomp_obj | Is object that is returned from 'pred_delta_comps()'?
is_lm_mod | Is object that is returned from 'lm()'?
is_null_or_na | Catch NULL, empty and objects containing NAs
plot_delta_comp | Plot redistributed time-use predictions from compositional ilr multiple linear regression model fit
predict_delta_comps | Get predictions from compositional ilr multiple linear regression model
print_ilr_trans | Print the ilr transformation of provided composition parts to console