# extr 1.1.0 (2026-03-14)

## 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.

# extr 1.0.0 (2025-09-15)

## 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")`.
