Changes in version 1.3.1 (2023-07-05)                  

    o   Debugging profiler

    o   Adding the hz argument to plot_lim(), which allows to plot intervals
	vertically

                 Changes in version 1.3.0 (2022-12-05)                  

    o   Adding the collection(), is.collection(), is.pointsvg(), plot_collection(),
	symbols() and (??) functions to allow the incorporation of collections of
	symbols for punctual and horizontal features.

    o   Adding the weldprofile(), profiler() and outliner() functions to add or
	extract log profiles (erosion, hardness, grain-size, facies, etc.).

    o   Adding the is.joint(), changejoint() and weldjoint() functions to better
	handle the non-straight bedding joints.

    o   Adding an experimental symbol collection of geological features: 'oufti99',
	as a preambule to multiple collections needed for all the geoscience
	community.

    o   Adding the octapos(), octashift() and is.clockwise() functions to
	characterise and control the order of points inside polygons.

    o   Adding the trace.lim() and plot_lim() functions to better visualise
	interval data (i.e., lim data)

    o   Generalising the shift() function.

    o   Debugging minorAxisTicks()

    o   Debugging multigons() [twice: I hope this does it]

    o   Debugging litholog()

    o   Debugging pointsvg (using str_extract)

    o   Debugging weldlog() [but it remains a complicated function]

    o   Adding an argument in memento() to rerun the function if data exterior to
	the R environment is changed.

                 Changes in version 1.2.5 (2022-05-09)                  

    o   Clarifying documentation, updating to new R guidelines

                 Changes in version 1.2.4 (2021-09-25)                  

    o   Clarifying documentation

    o   Debugging seq_mult()

                 Changes in version 1.2.3 (2021-05-28)                  

    o   Debugging memento()

                 Changes in version 1.2.2 (2021-05-24)                  

    o   Addition of the memento() function, which remembers and outputs the result
	of a slow function. This is to avoid repeating unnecessary processing while
	tinkering with the code.

    o   Debugging weldlog()

                 Changes in version 1.2.1 (2021-03-04)                  

    o   Debugging in.window()

    o   Addition of data sets for illustration (see article in R Journal)

                 Changes in version 1.2.0 (2021-02-16)                  

    o   Addition of the in.window() function, that computes efficiently which data
	points in time-series fall in specific windows, even with irregular
	sampling rate

    o   Improvement of multigons() and multilines() with mapply() rather than
	'for' loops

                 Changes in version 1.1.2 (2021-01-04)                  

    o   Removal of the welcome message (I got tired of it)

    o   Debugging and optimising the pointsvg() function

    o   Improving personalisation of the nlegend() function (& slight debugging)

                 Changes in version 1.1.1 (2020-11-02)                  

    o   Adaptation for R 4.0

    o   Addition of the nset() function, that allows among others to take a fixed
	number of repeated succesive measurements of samples (i.e. replicates in
	successive lines in a data table), and reorganise them (for instance take the
	lines of 5 replicates of measurements, and reorganise them in 5 columns),
	typically to average them.

    o   Addition of the pkgfind() functions, that allows to find a character
	pattern in the code of functions in an entire package.

    o   Addition of a new set of functions to in fine compare sedimentation rates
	between sections correlated by tie-point. The strat.repair() function, among
	others is added to remove instantaneous deposits (e.g. turbidites) and add
	thickness estimated to be lost (i.e. hiatuses). This is still in development.

    o   Fixed bug in are.lim.distinct() and shift()

                 Changes in version 1.1.0 (2020-06-01)                  

    o   Update to dplyr 1.0.0: fixed bug with tie.lim(),
	  suppression of the mat.lag() and mat.lead() functions
	  made obsolete by dplyr::lag() and dplyr::lead() now usable on matrices