Correct version to 0.1.1 (last CRAN release was 0.1.0, not 0.1.1)

Author: graemeleehickey

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: adaptDiag
 Type: Package
 Title: Bayesian Adaptive Designs for Diagnostic Trials
-Version: 0.1.2
+Version: 0.1.1
 Authors@R: c(
     person("Graeme L.", "Hickey",
            email = "graemeleehickey@gmail.com", 

NEWS.md

@@ -1,17 +1,11 @@
-# adaptDiag 0.1.2
+# adaptDiag 0.1.1
 
 * `binom_sample_size()`: fixed the normal approximation used to initialise the sample size search. The previous formula used only $p_1$ in the variance term; the correct Chow et al. (2017) formula uses $z_\alpha\sqrt{p_0(1-p_0)} + z_\beta\sqrt{p_1(1-p_1)}$. The exact discrete search result is unchanged, but the approximation now matches the cited reference.
 * `multi_trial()`: improved documentation for `prior_sens`, `prior_spec`, and `prior_prev` to explain that `c(0.1, 0.1)` is a bimodal near-Jeffreys prior that places most mass near 0 and 1, and that `c(1, 1)` (uniform) or an informative prior from pilot data may be more appropriate.
 * `multi_trial()`: added a `seed` argument for reproducible simulations (#5). Reproducibility is implemented via `doRNG::%dorng%`, which correctly handles RNG stream splitting across all parallel backends.
 * `multi_trial()` now uses a single `foreach` + `doRNG::%dorng%` dispatch path for all platforms, replacing the previous platform-specific branches (`pbmcapply::pbmclapply` on Unix, `foreach::%dopar%` on Windows). This fixes a latent Windows bug and simplifies the implementation. `pbmcapply` has been removed as a dependency and `doRNG` added.
 * Fixed an error in `multi_trial()` that occurred at early interim looks with low prevalence, when zero observations fell into a cell of the 2×2 contingency table (#5).
 
-
-# adaptDiag 0.1.1
-
-* Updated GitHub actions workflows
-* Updated README badges
-
 # adaptDiag 0.1.0
 
 * First package release to CRAN.

cran-comments.md

@@ -13,7 +13,7 @@
 
 0 errors | 0 warnings | 0 notes
 
-## Changes since last submission (0.1.1)
+## Changes since last submission (0.1.0)
 
 * `multi_trial()`: added a `seed` argument for reproducible simulations.
   Reproducibility is handled via `doRNG::%dorng%`, which correctly manages