| absentOutcome() const | FragmentIonLikelihoodModel | inline |
| addObservations(const std::vector< Ion > &ions, bool noise) | FragmentIonLikelihoodModel | |
| CLEAVAGE_SITES | FragmentIonLikelihoodModel | static |
| complement_ | FragmentIonLikelihoodModel | private |
| COMPLEMENT_STATES | FragmentIonLikelihoodModel | static |
| context_set_ | FragmentIonLikelihoodModel | private |
| contexts() const | FragmentIonLikelihoodModel | inline |
| contexts_ | FragmentIonLikelihoodModel | private |
| ContextSet enum name | FragmentIonLikelihoodModel | |
| contextSet() const | FragmentIonLikelihoodModel | inline |
| ERROR_BINS | FragmentIonLikelihoodModel | static |
| errorBin(double relative_error) | FragmentIonLikelihoodModel | static |
| errors_ | FragmentIonLikelihoodModel | private |
| finalize() | FragmentIonLikelihoodModel | |
| finalized_ | FragmentIonLikelihoodModel | private |
| FRAGMENT_CHARGES | FragmentIonLikelihoodModel | static |
| FragmentIonLikelihoodModel(ContextSet context_set=ContextSet::RICH, double pseudo_count=20.0) | FragmentIonLikelihoodModel | explicit |
| isTrained() const | FragmentIonLikelihoodModel | inline |
| level1Context_(Size context) const | FragmentIonLikelihoodModel | private |
| level2Context_(Size context) const | FragmentIonLikelihoodModel | private |
| logLikelihoodRatio(Size context, Size outcome) const | FragmentIonLikelihoodModel | |
| matchIons(const PeakLists &peaks, Size index, const MSSpectrum &theoretical, const AASequence &peptide, int precursor_charge, double tolerance, bool ppm, std::vector< Ion > &ions) const | FragmentIonLikelihoodModel | |
| matchIons(const PeakLists &peaks, Size index, const MSSpectrum &theoretical, const std::vector< Residue::ResidueType > &ion_types, const std::vector< UInt > &ion_ordinals, const std::vector< Int > &ion_charges, const AASequence &peptide, int precursor_charge, double tolerance, bool ppm, std::vector< Ion > &ions) const | FragmentIonLikelihoodModel | |
| matchIons_(const PeakLists &peaks, Size index, const MSSpectrum &theoretical, IonOf &&ion_of, ChargeOf &&charge_of, const AASequence &peptide, int precursor_charge, double tolerance, bool ppm, std::vector< Ion > &ions) const | FragmentIonLikelihoodModel | private |
| noise_counts_ | FragmentIonLikelihoodModel | private |
| noise_logp_ | FragmentIonLikelihoodModel | private |
| noise_psms_ | FragmentIonLikelihoodModel | private |
| noisePsms() const | FragmentIonLikelihoodModel | inline |
| outcomes() const | FragmentIonLikelihoodModel | inline |
| outcomes_ | FragmentIonLikelihoodModel | private |
| parseIonName(const std::string &name, bool &prefix, Size &ordinal) | FragmentIonLikelihoodModel | static |
| parseIonSeries(const std::string &name, Size &series, Size &ordinal) | FragmentIonLikelihoodModel | static |
| POSITION_BINS | FragmentIonLikelihoodModel | static |
| PRECURSOR_BUCKETS | FragmentIonLikelihoodModel | static |
| presenceProbability(Size context) const | FragmentIonLikelihoodModel | |
| pseudo_count_ | FragmentIonLikelihoodModel | private |
| pseudoCount() const | FragmentIonLikelihoodModel | inline |
| RANK_BINS | FragmentIonLikelihoodModel | static |
| rankBin(Size rank) | FragmentIonLikelihoodModel | static |
| requireTrained_() const | FragmentIonLikelihoodModel | private |
| score(const std::vector< Ion > &ions, Size top_k=6) const | FragmentIonLikelihoodModel | |
| SERIES | FragmentIonLikelihoodModel | static |
| seriesOf(Residue::ResidueType type) | FragmentIonLikelihoodModel | static |
| signal_counts_ | FragmentIonLikelihoodModel | private |
| signal_logp_ | FragmentIonLikelihoodModel | private |
| signal_psms_ | FragmentIonLikelihoodModel | private |
| signalPsms() const | FragmentIonLikelihoodModel | inline |
| sites_ | FragmentIonLikelihoodModel | private |
| smooth_(const std::vector< double > &counts) const | FragmentIonLikelihoodModel | private |