Package: esmprep Type: Package Version: 0.2.0 Title: Data Preparation During and After the Use of the Experience Sampling Methodology (ESM) Description: Support in preparing a raw ESM dataset for statistical analysis. Preparation includes the handling of errors (mostly due to technological reasons) and the generating of new variables that are necessary and/or helpful in meeting the conditions when statistically analyzing ESM data. The functions in 'esmprep' are meant to hierarchically lead from bottom, i.e. the raw (separated) ESM dataset(s), to top, i.e. a single ESM dataset ready for statistical analysis. This hierarchy evolved out of my personal experience in working with ESM data. Author: Marcel Miché Maintainer: Marcel Miché Depends: R (>= 3.2) Imports: lubridate (>= 1.6.0) License: GPL (>=2) URL: https://github.com/mmiche/esmprep Encoding: UTF-8 LazyData: true RoxygenNote: 6.1.1 NeedsCompilation: yes Repository: https://mmiche.r-universe.dev Date/Publication: 2019-07-05 11:15:49 UTC RemoteUrl: https://github.com/mmiche/esmprep RemoteRef: HEAD RemoteSha: 8cd3330d9621ba6e69b2d9aa8df62d97eb988a95 Packaged: 2026-10-09 10:04:24 UTC; root