Monte Carlo confidence intervals for free and defined parameters
    in models fitted in the structural equation modeling package 'lavaan'
    can be generated using the 'semmcci' package.
    'semmcci' has three main functions, namely, MC(), MCMI(), and MCStd().
    The output of 'lavaan' is passed as the first argument
    to the MC() function or the MCMI() function to generate Monte Carlo confidence intervals.
    Monte Carlo confidence intervals for the standardized estimates
    can also be generated by passing the output of the MC() function or the MCMI() function
    to the MCStd() function.
    A description of the package and code examples
    are presented in Pesigan and Cheung (2024) <doi:10.3758/s13428-023-02114-4>.

Provides methods for constructing and maintaining a database of presentations in R. The presentations are either ones that the user gives or gave or presentations at a particular event or event series. The package also provides a plot method for the interactive mapping of the presentations using 'leaflet' by grouping them according to country, city, year and other presentation attributes. The markers on the map come with popups providing presentation details (title, institution, event, links to materials and events, and so on).

Implements several functions for the analysis of semantic networks including different network estimation algorithms, partial node bootstrapping (Kenett, Anaki, & Faust, 2014 <doi:10.3389/fnhum.2014.00407>), random walk simulation (Kenett & Austerweil, 2016 <http://alab.psych.wisc.edu/papers/files/Kenett16CreativityRW.pdf>), and a function to compute global network measures. Significance tests and plotting features are also implemented.

Implements several functions that automates the cleaning and spell-checking of text data. Also converges, finalizes, removes plurals and continuous strings, and puts text data in binary format for semantic network analysis. Uses the 'SemNetDictionaries' package to make the cleaning process more accurate, efficient, and reproducible.