Formats for R Markdown that undo modifications by
    'pandoc' and 'rmarkdown' to original 'latex' templates, such as
    smaller margins, paragraph spacing, and compact titles. In addition, 
    enhancements such as author blocks with affiliations and
    headers and footers are introduced. All of this functionality is built 
    around plugins that modify the default 'pandoc' template without relying on 
    custom templates.

Computes word, character, and non-whitespace character counts in R Markdown documents and Jupyter notebooks, with or without code chunks. Returns results as a data frame.

A suite of tools useful to read, visualize and export bivariate motion energy time-series. Lagged synchrony between subjects can be analyzed through windowed cross-correlation. Surrogate data generation allows an estimation of pseudosynchrony that helps to estimate the effect size of the observed synchronization. Kleinbub, J. R., & Ramseyer, F. T. (2020). rMEA: An R package to assess nonverbal synchronization in motion energy analysis time-series. Psychotherapy research, 1-14. <doi:10.1080/10503307.2020.1844334>.

An 'Rcpp' interface for Eunjeon project <http://eunjeon.blogspot.com/>.
    The 'mecab-ko' and 'mecab-ko-dic' is based on a C++ library,
    and part-of-speech tagging with them is useful when the spacing of source Korean text is not correct.
    This package provides part-of-speech tagging and tokenization function for Korean text.

Computes confidence intervals for nonlinear functions of model 
    parameters (e.g., product of k coefficients) in single-level and multilevel 
    structural equation models. Methods include the distribution of the product, 
    Monte Carlo simulation, and bootstrap methods. It also performs the Model-Based 
    Constrained Optimization (MBCO) procedure for hypothesis testing of indirect 
    effects.
    References:
    Tofighi, D., and MacKinnon, D. P. (2011). RMediation: An R package for mediation 
    analysis confidence intervals. Behavior Research Methods, 43, 692-700. 
    <doi:10.3758/s13428-011-0076-x>;
    Tofighi, D., and Kelley, K. (2020). Improved inference in mediation analysis: Introducing the model-based constrained optimization procedure. 
    Psychological Methods, 25(4), 496-515. <doi:10.1037/met0000259>;
    Tofighi, D. (2020). Bootstrap Model-Based Constrained Optimization Tests of 
    Indirect Effects. Frontiers in Psychology, 10, 2989. 
    <doi:10.3389/fpsyg.2019.02989>.