Methods to access data sets from the 'jamovi' statistical
  spreadsheet (see <https://www.jamovi.org> for more information) from R.

A framework for creating rich interactive analyses for the jamovi
    platform (see <https://www.jamovi.org> for more information).

The free and open a statistical spreadsheet 'jamovi'
    (<https://www.jamovi.org>) aims to make statistical analyses easy and
    intuitive. 'jamovi' produces syntax that can directly be used in R (in
    connection with the R-package 'jmv'). Having import / export routines for
    the data files 'jamovi' produces ('.omv') permits an easy transfer of
    data and analyses between 'jamovi' and R.

Aids in the calculation and visualization of regions of non-significance using the 'Johnson-Neyman' technique and its extensions as described by Bauer and Curran (2005) <doi:10.1207/s15327906mbr4003_5> to assess the influence of categorical and continuous moderators. Allows correcting for phylogenetic relatedness.

Call job::job({<code here>}) to run R code as an RStudio job and keep your console free in the meantime. This allows for a productive workflow while testing (multiple) long-running chunks of code. It can also be used to organize results using the RStudio Jobs GUI or to test code in a clean environment. Two RStudio Addins can be used to run selected code as a job.

Takes an R expression and returns a job object with a $stop() method
    which can be called to terminate the background job. Also provides timeouts
    and other mechanisms for automatically terminating a background job. The
    result of the expression is available synchronously via $result or
    asynchronously with callbacks or through the 'promises' package framework.

In a typical experiment for the intuitive judgment of frequencies (JoF) different stimuli with different frequencies are presented. The participants consider these stimuli with a constant duration and give a judgment of frequency. These judgments can be simulated by formal models: PASS 1 and PASS 2 based on Sedlmeier (2002, ISBN:978-0198508632), MINERVA 2 baesd on Hintzman (1984) <doi:10.3758/BF03202365> and TODAM 2 based on Murdock, Smith & Bai (2001) <doi:10.1006/jmps.2000.1339>. The package provides an assessment of the frequency by determining the core aspects of these four models (attention, decay, and presented frequency) that can be compared to empirical results.