Version 0.3.0 — Cleaner API

What's Changed

• AnalysisResult renamed to AnalysisRecord
• AnalysisInfo renamed to SessionInfo; describes the data acquisition
  session only (participant, start, end); func and r2 removed
• SessionInfo constructor simplified: accepts a single p_data DataFrame
  (as returned by prepare_part_data()); participant, start and end
  are derived automatically
• FitResult.to_dict() now includes func (waveform function name) and r2
  (R² goodness of fit), both computed automatically at the end of fit()
• r2 is no longer a field of SessionInfo; fit() computes and stores it
  in FitResult directly
• compute_wave() eliminated; replaced by the gen_time_range() +
  waveform-function pattern: gen_time_range() accepts a Timestamp series or
  explicit tmin/tmax bounds and a pandas offset string for step, and
  returns a time axis as float days since the Unix UTC epoch, which is
  then passed directly to the waveform function (e.g.
  bsbcf(t=gen_time_range(series, step="1min"), p=fit_result))
• New helper to_days() converts timestamps to float days since the Unix UTC
  epoch; timezone-naive input is treated as UTC, timezone-aware input is
  converted to UTC first
• New helper from_days() is the inverse of to_days(); returns a
  UTC-aware pd.DatetimeIndex
• day_profile(), midpoint() and area_cog() now accept a float days
  array (as returned by gen_time_range()) in addition to pd.DatetimeIndex
• fit() now accepts a datetime64 array or pandas Timestamp Series for
  time_fit; conversion via to_days() is automatic
• prepare_part_data() no longer adds a Timedays column to the returned
  DataFrame; time handling is done internally via to_days()
• prepare_part_data() returns an independent copy of the participant's data;
  mutations to the returned DataFrame do not affect the original; redundant
  Date and Time columns are dropped (both are combined in Timestamp)

See the README for installation instructions and getting started.