EpiSewer v0.0.3

This intermediate release of EpiSewer brings:

• improved R_estimate_ets and R_estimate_splines components which can model changes in R variability over time (e.g. between different seasons)
• more flexible parameterization of discrete distributions (new coefficient of variation argument, and automatic choice of maximum length)
• a bugfix related to lazy evaluation of the model components which lead to unwanted interactions between different models if components were reused
• improvements of the function documentation and vignettes

EpiSewer v0.0.2

EpiSewer v.0.0.2 brings various improvements in terms of robustness and flexibility of the model and interface. Important features are

• Updated, now fully-fledged model for digital PCR measurements
• Additional epidemiological indicators (growth rate, doubling time)
• More flexible and less error-prone specification of shedding profile
• Modeling of individual-level variation in shedding loads
• Increased robustness to outliers due to new default observation likelihood (Gamma)
• Better plotting functions, with new features (e.g. faceting between models, plotting outliers)
• Forecasting
• Improved runtime in many instances.

These new features also come with a considerable number of breaking changes, unfortunately. Code running with EpiSewer v.0.0.1 will likely stop working and needs to be adapted by consulting the README and detailed example vignette.

EpiSewer 0.0.1

This is an early development release of EpiSewer. Please be aware that the package is still in an experimental stage and future releases will likely introduce breaking changes.