Version 0.13
    o new argument "stringnum" in function setupfile()
    o the R data frame gains a new attribute "stdyDscr" when importing from DDI
    o bug fix importing from DDI with external .csv file
    o function convert() now recognizes ".zsav" as SPSS input file
    o fixed situation with input files containing multiple dots
    o function recodeValues() renamed to recodeMissings()

Version 0.12
    o exporting to Excel creates new sheets containing metadata information
      about the variables and their values
    o new argument "encoding" in functions convert() and getMetadata()
    o new argument "recode" in function setupfile()
    o new argument "csv" in function convert()
    o fixed varFormat when exporting to DDI
    o convert() now correctly returns a tibble when the input is a DDI codebook,
      and the argument "declared" is deactivated
    o convert to and from SAS transport files
    o metadata is now (also) collected from factor levels, for R data frames
    o converting to SAS automatically creates a catalog file, next to the datafile
    o new function recodeCharcat() to recode character categorical variables to
      numeric categorical variables
    o argument "chartonum" moved from function recodeValues() to function convert()

Version 0.11
    o new argument "xmlns" in function exportDDI(), to allow creating XML files
      using a namespace
    o new argument "..." in function exportDDI(), to accept more incoming options
    o improved setup file to import .csv file into R

Version 0.10
    o new arguments "monolang" and "xmlang" in function exportDDI()
    o removed formal argument "embed" from function convert(), but it is still
      possible to be used via the "..." and automatically passed to exportDDI()
    o more validation checks when converting to DDI Codebook

Version 0.9
    o added the necessary "ddi:codebook:2_5" statement to the xsi:schemaLocation
      in the codebook, to validate the resulting DDI .xml file
    o updated the documentation of function convert() to explain how to use the
      argument "user_na" from function read.spss() in package haven
    o new argument "recode" in function convert(), to allow users to control
      if the Stata missing values get recoded to actual numbers
    o function recodeMissing() renamed to recodeValues()
    o improved function setupfile(), now accepting datafiles as input
    o more integration with read / write functions from package haven
    o multiple improvements and bug fixes to the internal code

Version 0.8
    o fixed bug exporting invalid DDI .xml files
    o fixed bug exporting declared missing values to Excel
    o new logical argument "declared" in function convert() allowing users to
      control if variables in converted objects will have the class 'declared'

Version 0.7
    o proper production of setup files due to changing the codeBook structure
    o modified convert() for objects of class 'declared', to avoid a bug in
      package ReadStat that prevents exporting missing values to SPSS for
      integer variables
    o sync-ed with the latest version of package admisc

Version 0.6
    o function convert() now invisibly returns the imported data
    o function convert() now accepts Excel files for both input and output
    o improved function exportDDI(), now correctly using special characters
    o when converting to R objects, variables are automatically coerced
      to declared labelled objects (see package declared for details)
    o updated code to the latest version of package haven, and (consequently)
      removed argument "binpath" from function convert()
    o new function recodeMissing()

Version 0.5
    o fixed bug in make_labelled() when a variable is character,
      yet the value labels and the defined missing values are numeric
    o various other improvements to internal functions

Version 0.4
    o improved function convert() for speed
    o sync-ed with the latest version of package admisc

Version 0.3
    o new function convert(), to convert from one statistical package to another
    o new function exportDDI(), for DDI codebook version 2.5
    o new function getMetadata(), to extract metadata information from
      statistical package files (such as SPSS or Stata)
    o replaced package XML with package xml2
      (thanks to Ruben Arslan for the suggestion)
    o changed the design of the R setup file, employing labelled variables
    o R package haven is now used to deal with missing values and missing ranges
    o removed formal arguments "delim", "miss", "trymiss", "uniqueid" and "SD"
      from function setupfile()
    o improved code for the SAS setup files
    o various bug fixes in function setupfile()

Version 0.2
    o better arrangement of missing types in the R commands
    o some improvements in the R code generation
    o improved SAS setup file (thanks to Alexandre Kych)
    o the package now reads both ".csv" and ".csv.gz" files
    o new internal function getDelimiter() to try identifying the .csv column
      separator
    o fixed a small bug preventing the identification and formatting of string
      variables in SPSS
    o fixed a bug dealing with missing values for SPSS setup files

Version 0.1
    o R and SAS versions are now produced, in addition to SPSS and Stata
    o additional argument "saveFile" to function getMetadata()

Version 0.0-7
    o fixed a small bug in setupfile()
    o argument "outfile" not mandatory anymore

Version 0.0-6
    o new function getMetadata() that reads an .xml file and produces the
      relevant .R metadata file
    o setupfile() now automatically detects .xml file(s) and uses the
      getMetadata() function to use the DDI metadata from the XML files.

Version 0.0-5
    o setupfile() now accepts csvfile as a path to the csv data
    o argument "csvfile" renamed to "csv"
    o all created setup files are saved in the current directory, in the
      "Setup files" (created) folder

Version 0.0-4
    o Various bug fixes, thanks to Sebastian Kocar

Version 0.0-3
    o Better detection for ranges of missing values

Version 0.0-2
    o Added batch mode support
    o Reading .csv files now automatically detects three different delimiters:
      "," or ";" or tab separated files.
    o There is additional information for the user, indicating which variables
      in the .csv file do not have any metadata information, or if there is
      metadata for variables not existing in the .csv file.
    o A warning is given if there is no header first row in the .csv file
    o The "." sign to represent a missing is now detected and a NOTE is printed
      on the screen.
    o For the SPSS setup file, not more than 3 distinct missing values are allowed.

Version 0.0-1
    o First version of the package