Allows to interact with the 'JIRA SERVER REST API' to analyze the retrieved data in R. For further information about the API visit <https://docs.atlassian.com/software/jira/docs/api/REST/8.9.1/>.
covr, testthat (>= 2.1.0), knitr, rmarkdown, dplyr

Modelling and Simulating Judgments of Frequency
c(person("Markus", "Burkhardt", email = "markus.burkhardt@psychologie.tu-chemnitz.de", role = c("aut", "cre")))
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.

Functions for unit-level small area estimators and their
variances
This package currently implements the GREG and unit level
EBLUP estimators and the estimate of their variance to further
document the publication of Breidenbach and Astrup (2011). It
also contains an extensive example that explains the use of the
implemented functions.

Functions for some unit-level small area estimators and their
variances
This package currently implements the unit level EBLUP and GREG estimators as well as the estimate of their variances to further document the publication of Breidenbach and Astrup (2011). It also contains a vignette that explains the use of the implemented functions.

Functions for some Unit-Level Small Area Estimators and their
Variances
Implementation of some unit level EBLUP and GREG estimators as well as the estimate of their variances to further document the publication of Breidenbach and Astrup (2011). The vignette further explains the use of the implemented functions.