Changes in version 1.1.1 Changes in 1.1.1 - Updated the package citation to the published article in Methods in Ecology and Evolution. - Added examples for irregularly spaced observation times and missing observations in ext_di(). - Clarified the distinction between the default ML method and the OEAR method for irregular or mildly incomplete time series. Changes in version 1.1.0 (2026-03-17) Changes in 1.1.0 - Added method = "oear" to ext_di(), allowing extinction probability estimates and associated confidence intervals to be computed using an observation-error-and-autocovariance-robust (OEAR) plug-in variance estimate. - Implemented the OEAR variance estimator using HAC long-run variance estimation with AR(1) pre-whitening and a Bartlett kernel. - Added OEAR diagnostics (rho_tilde_pw and j) to the returned object and printed output. - Updated method-specific output: for method = "naive", output includes Variance and aic; for method = "oear", output includes Process variance (OEAR), reports aic as NA, and reports lower_cl_s and upper_cl_s using a chi-square-based pragmatic plug-in approximation. Changes in version 1.0.0 (2025-09-21) Up to 0.9.0 - Core extinction-risk estimator ext_di for density-independent (drifted Wiener) models. - Includes MLEs of growth rate and environmental variance from irregular time series. - Includes point estimate of extinction probability. - Includes confidence intervals for extinction probability (w-z method) with near-nominal coverage. - Includes optional QQ-plot diagnostic. Changes in 1.0.0 - Numerical stability and range: - Adaptive probability representation on G, log G, and log(1-G). - Uses complement form when G is near 0 or 1 to maintain numerical accuracy. - Log-scale representation extends safe range down to symbolic exp(-DBL_MAX). - Probabilities near 0 or 1 are displayed as 10^-* or 1-10^-*. - Printed output: - Printed precision is configurable via options("extr.digits").