coef_diff_by_group {breathtestcore}  R Documentation 
Given a fit to 13C breath test curves, computes betweengroup confidence
intervals and pvalues, for examples of the half emptying time t50
,
with correction for multiple testing.
coef_diff_by_group(fit, mcp_group = "Tukey", reference_group = NULL, ...)
fit 
Object of class 
mcp_group 
"Tukey" (default) for all pairwise comparisons, "Dunnett" for comparisons relative to the reference group. 
reference_group 
Used as the first group and as reference group for

... 
Not used 
A tibble
of class coef_diff_by_group
with columns
Parameter of fit, e.g. beta, k, m, t50
Method used to compute parameter. exp_beta
refers to primary
fit parameters beta, k, m
. maes_ghoos
uses the method from
Maes B D, Ghoos Y F,
Rutgeerts P J, Hiele M I, Geypens B and Vantrappen G 1994 Dig. Dis. Sci. 39 S1046.
bluck_coward
is the selfcorrecting method from Bluck L J C and
Coward W A 2006
Which pairwise difference, e.g solid  liquid
Estimate of the difference
Lower and upper 95 A comparison is significantly different from zero when both estimates have the same sign.
pvalue of the difference against 0, corrected for multiple testing
library(dplyr) data("usz_13c") data = usz_13c %>% dplyr::filter( patient_id %in% c("norm_001", "norm_002", "norm_003", "norm_004", "pat_001", "pat_002","pat_003")) %>% cleanup_data() fit = nls_fit(data) coef_diff_by_group(fit) fit = nlme_fit(data) coef_diff_by_group(fit) # TODO: Add example for Stan fit typecast to class \code{breathtestfit} to compute # confidence intervals instead of credible intervals