BioTIMEr 0.3.0 - 29.11.2025

Major Improvement

The package now uses data.table in the background for major speed and memory usage improvements. Resampling the whole BioTIME database used to take > 1 hour and now takes < 1 minute.
methods: gridding and resampling functions now handle data.frame, data.table and tibble objects with dedicated functions.
getAlphaMetrics and getBetaMetrics are faster and use 100x less memory.

In the resampling function:
- new argument summarise, TRUE by default keeps previous behaviour.
  
  If TRUE, the abundance and/or biomass is summed per rarefyID while if FALSE the abundance and/or biomass will be summed per rarefyID/SAMPLE_DESC and gives more columns.
In the getAlphaMetrics and getBetaMetrics functions:
data.frames containing several resamplings are accepted

If the provided data contain several resamplings, metrics will be computed per resampling, per assemblageID, per year.
In the getLinearRegressions function:
- removed the divType argument.
  
  The function now reads the class of the objects produced by getAlphaMetrics and getBetaMetrics and computes the expected metrics.