Suggests: callr, covr, digest, glue (>= 1.6.0), grDevices, htmltools,
rstudioapi, testthat, tibble, whoami, withr
Packaged: 2022-09-07 19:09:39 UTC; gaborcsardi

Packaged: 2022-09-22 18:05:14 UTC; gaborcsardi

Title: Create Rich Command Line Applications
Description: Create rich command line applications, with colors, headings,
lists, alerts, progress bars, etc. It uses CSS for custom themes.
Imports: cli, crayon, fansi, glue (>= 1.3.0), prettycode, progress (>=
Suggests: callr, covr, rstudioapi, testthat
Packaged: 2018-12-05 09:41:39 UTC; gaborcsardi

Packaged: 2020-10-07 10:30:35 UTC; gaborcsardi

Title: Fix Data and Create Report Tables from Different Objects
Author: Victoria Fornes Ferrer, David Hervas Marin
Maintainer: David Hervas Marin <ddhervas@yahoo.es>
Imports: ClustOfVar, ReporteRs, lme4, lmerTest, xtable, beeswarm, lqmm,
Description: Fixes data errors in numerical, factor and date variables and performs report tables from models and summaries.

Description: Fixes data errors in numerical, factor and date variables, checks data quality and performs report tables from models and summaries.
Packaged: 2017-02-20 16:47:11 UTC; bioestadistica

Packaged: 2017-07-05 06:59:45 UTC; bioestadistica

Imports: beeswarm, boot, lmerTest, ReporteRs, xtable
Description: Fixes data errors in numerical, factor and date variables, checks data quality, performs exploratory analysis and creates report tables from models and summaries.

Imports: beeswarm, boot, lme4, lmerTest, ReporteRs, xtable
Packaged: 2017-09-06 14:34:39 UTC; bioestadistica

Imports: beeswarm, boot, brms, lme4, lmerTest, ReporteRs, xtable

Imports: beeswarm, boot, lme4, lmerTest, methods, ReporteRs, xtable
Description: Tools for assessing data quality, performing exploratory analysis,
fixing data errors in numerical, factor and date variables and creating report

Imports: beeswarm, boot, flextable, lme4, lmerTest, methods, officer,
Packaged: 2018-06-21 13:46:16 UTC; bioestadistica

Title: Semi-Automatic Preprocessing of Messy Data with Change Tracking
Description: Tools for assessing data quality, performing exploratory analysis, and
semi-automatic preprocessing of messy data with change tracking for integral dataset cleaning.