Tests convergence in macro-financial panels combining
    Dynamic Factor Models (DFM) and mean-reverting Ornstein-Uhlenbeck (OU)
    processes. Provides: (i) static/approximate DFMs for large panels with
    VAR/VECM stability checks, Portmanteau tests and rolling out-of-sample R^2,
    following Stock and Watson (2002) <doi:10.1198/073500102317351921> and the
    Generalized Dynamic Factor Model of Forni, Hallin, Lippi and Reichlin (2000)
    <doi:10.1162/003465300559037>; (ii) cointegration analysis à la Johansen
    (1988) <doi:10.1016/0165-1889(88)90041-3>; (iii) OU-based convergence and
    half-life summaries grounded in Uhlenbeck and Ornstein (1930)
    <doi:10.1103/PhysRev.36.823> and Vasicek (1977) <doi:10.1016/0304-405X(77)90016-2>;
    (iv) robust inference via 'sandwich' HC/HAC estimators (Zeileis (2004)
    <doi:10.18637/jss.v011.i10>) and regression diagnostics ('lmtest'); and
    (v) optional PLS-based factor preselection (Mevik and Wehrens (2007)
    <doi:10.18637/jss.v018.i02>). Functions emphasize reproducibility and clear,
    publication-ready summaries.

Indicators and measures by country and time describe
    what happens at economic and social levels. This package provides
    functions to calculate several measures of convergence after imputing
    missing values. The automated downloading of Eurostat data,
    followed by the production of country fiches and indicator fiches,
    makes possible to produce automated reports.
    The Eurofound report (<doi:10.2806/68012>)
    "Upward convergence in the EU: Concepts, measurements and indicators", 
    2018, is a detailed  presentation of  convergence.

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.