Initial CRAN release
Bootstrap-calibrated GoF test for simplex regression
Paper reproduction functions included
First release.
simplex_fit(): maximum-likelihood fit of the simplex
regression model with constant or varying dispersion (logit/log links),
with C++ kernels via Rcpp.
simplex_gof(): parametric bootstrap-calibrated
goodness-of-fit test based on the aggregated local-influence statistic
U_n.
simplex_diag(): local-influence diagnostics, with a
choice of analytic (bootstrap-invariant) or finite-difference
gradient.
simplex_Un_asymptotic(): asymptotic version of the
statistic for the null-distribution study.
Plotting: plot_influence(),
plot_envelope() (bootstrap envelope),
plot_gof_boot(), plus plot() methods for the
fitted and test objects.
Reproduction helpers: paper_ammonia(),
paper_pbsc(), paper_fig1(), and standalone
scripts in inst/scripts/.
Two bundled datasets: ammonia (n = 21) and
pbsc (n = 239).