Imports conversation transcripts into R, concatenates them into a single dataframe appending event identifiers, cleans and formats the text, then yokes user-specified psycholinguistic database values to each word.  'ConversationAlign' then computes alignment indices between two interlocutors across each transcript for >40 possible semantic, lexical, and affective dimensions. In addition to alignment, 'ConversationAlign' also produces a table of analytics (e.g., token count, type-token-ratio) in a summary table describing your particular text corpus.

Analyze and compare conversations using various similarity measures
    including topic, lexical, semantic, structural, stylistic, sentiment,
    participant, and timing similarities. Supports both pairwise conversation
    comparisons and analysis of multiple dyads. Methods are based on established research:
    Topic modeling: Blei et al. (2003) <doi:10.1162/jmlr.2003.3.4-5.993>;
    Landauer et al. (1998) <doi:10.1080/01638539809545028>;
    Lexical similarity: Jaccard (1912) <doi:10.1111/j.1469-8137.1912.tb05611.x>;
    Semantic similarity: Salton & Buckley (1988) <doi:10.1016/0306-4573(88)90021-0>;
    Mikolov et al. (2013) <doi:10.48550/arXiv.1301.3781>;
    Pennington et al. (2014) <doi:10.3115/v1/D14-1162>;
    Structural and stylistic analysis: Graesser et al. (2004) <doi:10.1075/target.21131.ryu>;
    Sentiment analysis: Rinker (2019) <https://github.com/trinker/sentimentr>.

Convert BCD (raw bytes) to decimal numbers and vice versa. BCD format is used to preserve decimals exactly, as opposed to the binary rounding errors inherent in "numeric" or "floating-point" formats.

Calculate the theoretical value of convertible bonds by given parameters, including B-S theory and Monte Carlo method.

Gene Symbols or Ensembl Gene IDs are converted using the Bimap interface in 'AnnotationDbi' in convertId2() but
    that function is only provided as fallback mechanism for the most common use cases in data analysis. The main function
    in the package is convert.bm() which queries BioMart using the full capacity of the API provided through the
    'biomaRt' package. Presets and defaults are provided for convenience but all "marts", "filters" and "attributes"
    can be set by the user. Function convert.alias() converts Gene Symbols to Aliases and vice versa and function likely_symbol()
    attempts to determine the most likely current Gene Symbol.