Package: multilevel 2.7
Paul Bliese
multilevel: Multilevel Functions
Tools used by organizational researchers for the analysis of multilevel data. Includes four broad sets of tools. First, functions for estimating within-group agreement and reliability indices. Second, functions for manipulating multilevel and longitudinal (panel) data. Third, simulations for estimating power and generating multilevel data. Fourth, miscellaneous functions for estimating reliability and performing simple calculations and data transformations.
Authors:
multilevel_2.7.tar.gz
multilevel_2.7.tar.gz(r-4.5-noble)multilevel_2.7.tar.gz(r-4.4-noble)
multilevel_2.7.tgz(r-4.4-emscripten)multilevel_2.7.tgz(r-4.3-emscripten)
multilevel.pdf |multilevel.html✨
multilevel/json (API)
# Install 'multilevel' in R: |
install.packages('multilevel', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- bh1996 - Data from Bliese and Halverson
- bhr2000 - Data from Bliese, Halverson and Rothberg
- chen2005 - Data from Chen
- cohesion - Small nested cohesion data frame
- klein2000 - Data from Klein, Bliese, Kozlowski et al.,
- lq2002 - Data used in special issue of Leadership Quarterly, Vol. 13, 2002
- paneldat - Firm-Level Panel Data from Donald J. (DJ) Schepker
- sherifdat - Sherif (1935) group data from 3 person teams
- tankdat - Tank data from Bliese and Lang
- univbct - Data from Bliese and Ployhart
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:d0c02975a2. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 04 2024 |
R-4.5-linux | NOTE | Nov 04 2024 |
Exports:ad.mad.m.simawgboot.icccordifcordif.depcronbachdgm.codegmeanrelgraph.ran.meanICC1ICC2item.totalmake.univmix.datamult.iccmult.make.univquantile.agree.simquantile.disagree.simquantile.rgr.wabaran.grouprgr.agreergr.olsrgr.wabarmv.blanksrtozrwgrwg.jrwg.j.lindellrwg.j.simrwg.simsam.corsim.iccsim.mlcorsimbiassobelsummary.agree.simsummary.disagree.simsummary.rgr.agreesummary.rgr.wabawaba