Combines taxonomic classifications of high-throughput 16S rRNA
  gene sequences with reference proteomes of archaeal and bacterial taxa to
  generate amino acid compositions of community reference proteomes. Calculates
  chemical metrics including carbon oxidation state ('Zc'), stoichiometric
  oxidation and hydration state ('nO2' and 'nH2O'), H/C, N/C, O/C, and S/C
  ratios, grand average of hydropathicity ('GRAVY'), isoelectric point ('pI'),
  protein length, and average molecular weight of amino acid residues. Uses
  precomputed reference proteomes for archaea and bacteria derived from the
  Genome Taxonomy Database ('GTDB'). Also includes reference proteomes derived
  from the NCBI Reference Sequence ('RefSeq') database and manual mapping from
  the 'RDP Classifier' training set to 'RefSeq' taxonomy as described by Dick and
  Tan (2023) <doi:10.1007/s00248-022-01988-9>. Processes taxonomic
  classifications in 'RDP Classifier' format or OTU tables in 'phyloseq-class'
  objects from the Bioconductor package 'phyloseq'.

Simple functions for plotting linear
	calibration functions and estimating standard errors for measurements
	according to the Handbook of Chemometrics and Qualimetrics: Part A
	by Massart et al. (1997) There are also functions estimating the limit
	of detection (LOD) and limit of quantification (LOQ).
	The functions work on model objects from - optionally weighted - linear
	regression (lm) or robust linear regression ('rlm' from the 'MASS' package).

A collection of functions that have been developed to assist
    experimenter in modeling chemical degradation kinetic data. The
    selection of the appropriate degradation model and parameter
    estimation is carried out automatically as far as possible and is
    driven by a rigorous statistical interpretation of the results.  The
    package integrates already available goodness-of-fit statistics for
    nonlinear models. In addition it allows data fitting with the
    nonlinear first-order multi-target (FOMT) model.