| iqspr-package | iqspr |
| ENgram | Extended N-gram model for leraning SMILES strings |
| ENgram-class | Extended N-gram model for leraning SMILES strings |
| engram_5k | ENgram object trained with 5000 SMILES strings |
| Esmi | Extend smi class |
| Esmi-class | Extend smi class |
| genENgram | generate SMILES strings from extended N-gram model |
| get_hiscores | get chemical structures with high QSPR score from SmcChem object |
| get_score | get QSPR scores for structures in the SmcChem object |
| get_smiles | get SMILES strings from the SmcChem object |
| iqspr | iqspr |
| predict | predict properties with forward QSPR model |
| qspr.data | sample dataset for QSPR modeling |
| QSPRpred | QSPRpredictor class |
| QSPRpred-class | QSPRpredictor class |
| qsprpred_EG_5k | QSPRpred object trained with 5000 SMILES strings and properties (Internal energy and HOMO-LUMO gap) dataset |
| SmcChem | SMC chemical generator class |
| SmcChem-class | SMC chemical generator class |
| smcexec | modify chemical structures with SMC |
| trainedSMI | sample dataset for learning with Extended N-gram model |
| viewstr | view 2D structures from SMILES string vector |