| Name : R-ANOFA
| |
| Version : 0.1.3
| Vendor : obs://build_opensuse_org/devel:languages:R
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| Release : lp153.3.2
| Date : 2024-06-14 12:07:16
|
| Group : Development/Libraries/Other
| Source RPM : R-ANOFA-0.1.3-lp153.3.2.src.rpm
|
| Size : 0.31 MB
| |
| Packager : (none)
| |
| Summary : Analyses of Frequency Data
|
Description :
Analyses of frequencies can be performed using an alternative test
based on the G statistic. The test has similar type-I error rates and
power as the chi-square test. However, it is based on a total statistic
that can be decomposed in an additive fashion into interaction effects,
main effects, simple effects, contrast effects, etc., mimicking
precisely the logic of ANOVA. We call this set of tools \'ANOFA\'
(Analysis of Frequency data) to highlight its similarities with ANOVA.
This framework also renders plots of frequencies along with confidence
intervals. Finally, effect sizes and planning statistical power are
easily done under this framework. The ANOFA is a tool that assesses the
significance of effects instead of the significance of parameters; as
such, it is more intuitive to most researchers than alternative
approaches based on generalized linear models. See Laurencelle and
Cousineau (2023) < doi:10.20982/tqmp.19.2.p173>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
