Compositional Data Linear Models with Composition Redistribution

Documentation for package ‘codaredistlm’ version 0.1.0

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