Title: Cytometric Diversity Indices from Gated Data
Author: Bruno M.S. Wanderley, Maria Victoria Quiroga, Andre M. Amado, Fernando Unrein
Description: Uses multidimensional contingency tables to calculate ecological diversity indices for gated populations.
Depends: flowWorkspace, flowCore, vegan, ggplot2, grDevices, stats,

Title: Tracing Information Flow for Inter-Software Comparisons in Mass
person("Oliver", "Kardell", , "Okdll@gmx.net", role = c("aut", "cre"))
Description: Useful functions to standardize software outputs from ProteomeDiscoverer, Spectronaut, DIA-NN and MaxQuant on precursor, modified peptide and proteingroup level and to trace software differences for identifications such as varying proteingroup denotations for common precursor.
Imports: comprehenr, dplyr, ggplot2, magrittr, stringr, tibble, tidyr
Suggests: data.table, kableExtra, knitr, rmarkdown, testthat (>= 3.0.0)

Title: Tools for characterizing flowering traits
Description: Flowering is an important life history trait of flowering plants. It has been mainly analyzed with respect to flowering onset and duration of flowering. This tools provide some functions to compute the temporal distribution of an flowering individual related to other population members. fCV() measures the temporal variation in flowering. RIind() measures the rank order of flowering for individual plants within a population. SI(), SI2(), SI3(), and SI4() calculate flowering synchrony with different methods.

Title: Forecasts future values of a univariate time series.
Description: Flow field forecasting draws information from an interpolated flow field of the observed time series to incrementally build a forecast.

Title: Streamlining Design and Deployment of Complex Workflows
Description: This framework allows you to design and implement complex
pipelines, and deploy them on your institution's computing cluster. This has
been built keeping in mind the needs of bioinformatics workflows. However, it is
easily extendable to any field where a series of steps (shell commands) are to
Depends: R (>= 3.0.2), methods, params (>= 0.3), utils
Suggests: reshape2, knitr, ggplot2, openxlsx, testthat, funr
Authors@R: c(person("Sahil", "Seth", role = c("aut", "cre"), email = "me@sahilseth.com"))