| Name : R-powerly
| |
| Version : 1.8.6
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.15.5
| Date : 2024-06-14 12:23:20
|
| Group : Development/Libraries/Other
| Source RPM : R-powerly-1.8.6-lp153.15.5.src.rpm
|
| Size : 2.53 MB
| |
| Packager : (none)
| |
| Summary : Sample Size Analysis for Psychological Networks and More
|
Description :
An implementation of the sample size computation method for network
models proposed by Constantin et al. (2021)
< doi:10.31234/osf.io/j5v7u>. The implementation takes the form of a
three-step recursive algorithm designed to find an optimal sample size
given a model specification and a performance measure of interest. It
starts with a Monte Carlo simulation step for computing the performance
measure and a statistic at various sample sizes selected from an
initial sample size range. It continues with a monotone curve-fitting
step for interpolating the statistic across the entire sample size
range. The final step employs stratified bootstrapping to quantify the
uncertainty around the fitted curve.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
