From eb475ff31025f6bb1f34e2e90ce158ce902c6033 Mon Sep 17 00:00:00 2001 From: Sam Date: Mon, 8 May 2023 19:40:34 +0100 Subject: [PATCH] standardise versions --- DESCRIPTION | 2 +- NEWS.md | 18 +++++++++--------- 2 files changed, 10 insertions(+), 10 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index a372774..d8a0f8a 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: forecast.vocs Title: Forecast Case and Sequence Notifications using Variant of Concern Strain Dynamics -Version: 0.1.0 +Version: 0.9.0 Authors@R: c(person(given = "Sam Abbott", role = c("aut", "cre"), diff --git a/NEWS.md b/NEWS.md index 88decd6..db1f1b7 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,4 +1,4 @@ -# forecast.vocs 0.1.0 +# forecast.vocs 0.9.0 ## Features @@ -38,7 +38,7 @@ - Fixed a bug in the two-strain model caused by the addition of infrastructure to compute discrete convolutions. - Updated `fv_score_forecast()` to support `scoringutils 1.0.0`. -# forecast.vocs 0.0.8 +# forecast.vocs 0.8.0 ## Features @@ -63,7 +63,7 @@ of data with non-weekly spaces (though spacing must be constant across both sequ * Refactors model description to improve clarity. * Fixed an issue where `voc_label` was not being passed by `forecast()` to lower level methods and hence new labels specifying the VOC were not being assigned. -# forecast.vocs 0.0.7 +# forecast.vocs 0.7.0 * Further generalised the `forecast` family to accept custom data and forecast extraction functions. * Split generic posterior summary function from specific posterior summary function. @@ -73,7 +73,7 @@ of data with non-weekly spaces (though spacing must be constant across both sequ * Fixes `generate_obs()` to work with all strain models and adds unit tests for all function functionality. * Fixed package building on `r-universe`. -# forecast.vocs 0.0.6 +# forecast.vocs 0.6.0 * Add a vignette defining the package models. * Updated documentation to use `{preferably}`. @@ -85,19 +85,19 @@ of data with non-weekly spaces (though spacing must be constant across both sequ * Model specific functions (i.e `load_model`, `summarise_posterior`, and functions prefixed with `stan_` have been renamed with the `fv_` prefix). * Added the ability to pass model specific functions to the `forecast` function and wrappers enabling users to supply custom models but make use of the remaining package functionality. -# forecast.vocs 0.0.5 +# forecast.vocs 0.5.0 * Overhaul all package documentation and examples. * Enforce proper printing of all `data.table` output. * Add structure to documentation website. -# forecast.vocs 0.0.4 +# forecast.vocs 0.4.0 * Improve the robustness of plotting observations and forecast dates so that they can be faceted using the same variables as used for plotting estimates/forecasts. * Added the option to scale growth rates and reproduction numbers. This allows crude scaling by the generation time etc increasing the interpretability of these estimates. * Surfaced more options when plotting to allow for increased generalisability. -# forecast.vocs 0.0.3 +# forecast.vocs 0.3.0 * `fv_tidy_posterior` now returns a single data.table and all downstream processing and plotting functions have been updated to use this forma * `forecast` has been updated to use the framework from `forecast_dt` and `forecast_dt` has been removed. @@ -112,7 +112,7 @@ of data with non-weekly spaces (though spacing must be constant across both sequ * Switched to installing `cmdstanr` from GitHub. -# forecast.vocs 0.0.2 +# forecast.vocs 0.2.0 * Package generalised to all variants of concern beyond Delta. * Tooling added to forecast across dates and scenarios. @@ -120,7 +120,7 @@ of data with non-weekly spaces (though spacing must be constant across both sequ * Tooling added for simulating data from the model (useful for simulation-based calibration amongst other things). * Example data updated to use snapshots of COVID-19 notifications and Delta sequences sourced for the RKI (Germany). -# forecast.vocs 0.0.1 +# forecast.vocs 0.1.0 * Extracted package code from analysis code and started work on generalising use case. * Added initial version of forecasting model for 1 and 2 strains with optional independence, partial pooling, and scaled relationships.