| Name : R-scdtb
| |
| Version : 0.1.0
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp154.2.1
| Date : 2024-06-11 07:59:37
|
| Group : Development/Libraries/Other
| Source RPM : R-scdtb-0.1.0-lp154.2.1.src.rpm
|
| Size : 1.98 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Single Case Design Tools
|
Description :
In some situations where researchers would like to demonstrate causal
effects, it is hard to obtain a sample size that would allow for a
well-powered randomized controlled trial. Single case designs are
experimental designs that can be used to demonstrate causal effects
with only one participant or with only a few participants. The \'scdtb\'
package provides a suite of tools for analyzing data from studies that
use single case designs. The nap() function can be used to compute the
nonoverlap of all pairs as outlined by the What Works Clearinghouse
(2022) < https://ies.ed.gov/ncee/wwc/Handbooks>. The package also offers
the mixed_model_analysis() and cross_lagged() functions which implement
mixed effects models and cross lagged analyses as described in Maric &
van der Werff (2020) < doi:10.4324/9780429273872-9>. The
randomization_test() function implements randomization tests based on
methods presented in Onghena (2020) < doi:10.4324/9780429273872-8>. The
scdtb() \'shiny\' application can be used to upload single case design
data and access various \'scdtb\' tools for plotting and analysis.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64 |
