NEWS

extr 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.

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.

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.

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").