Title: Data Management Package (Exposure and Occurrence Data in R)
Authors@R: c(person("Rainer", "Walke", role = c("aut", "cre"),
Description: This data management package provides some helper
classes for publicly available data sources (HMD, DESTATIS) in
Demography. Similar to ideas developed in the Bioconductor
project <https://bioconductor.org> we strive to encapsulate data in easy
If original data is provided in a text file, the resulting S4
object contains all information from that text file. But the
information is somehow structured (header, footer, etc).
Further the classes provide methods to make a subset for selected
calendar years or selected regions. The resulting subset
objects still contain the original header and footer information.
Author: Rainer Walke [aut, cre] (<https://orcid.org/0000-0002-4269-6531>)

Title: Export or Import Graph and Tables to 'Microsoft' Office
Description: Provides wrap functions to export and import graphics and
data frames in R to 'microsoft' office. And This package also
provide write out figures with lots of different formats.
Since people may work on the platform without GUI support, the package
also provide function to easily write out figures
Imports: officer, rvg, flextable, broom, dplyr, magrittr, htmlwidgets,

Imports: officer, rvg, flextable, broom, dplyr, magrittr, ggplotify,

Title: Export or Graph and Tables to 'Microsoft' Office and Import
to lots of different type of formats. Now this package provide function
to extract colors from all types of figures and pdf files.
Imports: officer, rvg, flextable, broom, dplyr, magrittr, tibble,
ggplotify, R.devices, devEMF, magick, gplots, ggplot2,

R.devices, devEMF, magick, ggplot2, htmlwidgets, plotly

Authors@R: person("Kai", "Guo", email = "guokai8@gmail.com",

Description: A collection of nice plotting functions directly from a
data.frame with limited customisation possibilities.

Description: A collection of nice plotting functions directly from a data.frame with limited customisation possibilities.

Title: Statistical Functions for the Censored and Uncensored
Authors@R: person("Mathias Borritz", "Milfeldt", email = "mathias@milfeldt.dk", role = c("aut", "cre"))
Description: Analyzing censored variables usually requires the use of optimization algorithms. This package provides an alternative algebraic approach to the task of determining the expected value of a random censored variable with a known censoring point. Likewise this approach allows for the determination of the censoring point if the expected value is known. These results are derived under the assumption that the variable follows an Epanechnikov kernel distribution with known mean and range prior to censoring. Statistical functions related to the uncensored Epanechnikov distribution are also provided by this package.
Author: Mathias Borritz Milfeldt [aut, cre]
Maintainer: Mathias Borritz Milfeldt <mathias@milfeldt.dk>