| Name : R-RRreg
| |
| Version : 0.7.5
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp156.6.1
| Date : 2024-09-10 03:08:39
|
| Group : Development/Libraries/Other
| Source RPM : R-RRreg-0.7.5-lp156.6.1.src.rpm
|
| Size : 1.09 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Correlation and Regression Analyses for Randomized Response Data
|
Description :
Univariate and multivariate methods to analyze randomized response (RR)
survey designs (e.g., Warner, S. L. (1965). Randomized response: A
survey technique for eliminating evasive answer bias. Journal of the
American Statistical Association, 60, 63–69, < doi:10.2307/2283137>).
Besides univariate estimates of true proportions, RR variables can be
used for correlations, as dependent variable in a logistic regression
(with or without random effects), or as predictors in a linear
regression (Heck, D. W., & Moshagen, M. (2018). RRreg: An R package for
correlation and regression analyses of randomized response data.
Journal of Statistical Software, 85(2), 1–29,
< doi:10.18637/jss.v085.i02>). For simulations and the estimation of
statistical power, RR data can be generated according to several
models. The implemented methods also allow to test the link between
continuous covariates and dishonesty in cheating paradigms such as the
coin-toss or dice-roll task (Moshagen, M., & Hilbig, B. E. (2017). The
statistical analysis of cheating paradigms. Behavior Research Methods,
49, 724–732, < doi:10.3758/s13428-016-0729-x>).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64 |
