R/RcppExports.R
lq_group_ci.RdFor each dimension computes a t-based CI:
mean ± t(α/2, n-1) × (SD / sqrt(n)) where α = 1 - conf_level.
lq_group_ci(points, conf_level = 0.95)Numeric matrix (n_dims x 3): columns are [mean, ci_lower, ci_upper].
When nrow(points) == 1 the CI bounds are ±Inf.