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survdistr 0.0.3

• Improved documentation
• Refactored interp_cif()
• Added trapezoidal integration option for continuous hazard/density to survival conversion in convert_to_surv()
• Renamed argument: trim_duplicates to trim_dups

survdistr 0.0.2

• Added convert_to_surv() for efficient transformation of hazard/density functions to survival at anchor time points (uses C++ internally).
• Introduced trim_duplicates() to remove repeated S(t) values across the time axis, with tolerance.
• Added interp_cif() for constant interpolation of CIF (uses C++ internally).
• Added extract_times() to consistently obtain and validate time points from vectors or matrices.
• Unified assertion functions into one: assert_prob().
• Unified mat_interp() and vec_interp() into a single interp() function.
• Enhanced interp():
  • Added aliases for the three interpolation options (e.g., const_haz is equivalent to exp_surv).
  • Implemented S(t) interpolation in C++ for all 3 options (output = "surv"); H(t) and F(t) follow similarly.
  • Implemented f(t) interpolation in C++ for all 3 options (output = "density")
  • Implemented h(t) interpolation in C++ for all 3 options (output = "hazard")
  • Requires unique and ordered eval_times, resulting in significant C++ speed-up.
  • Allows passing times separately to preserve precision.
• Improved survDistr:
  • Removed data_type argument; input now only S(t).
  • Added aliases for the three interpolation options.
  • Allows passing times during construction separately for precision.
  • Introduced filter() method for in-place object filtering.
  • Added rows argument to filter input matrix before interpolation without altering the object.
  • method and times are now active fields, not public members.
  • Added S3 conversion via as_survDistr(x).
• Added unit tests for all features.

survdistr 0.0.1

• Base survDistr class.
• assert_prob_matrix() for asserting survival, CDF and CIF matrices.
• mat_interp() and vec_interp() for constant and linear interpolation of survival, CDF and CIF matrices/vectors (using internal Rcpp methods).

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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