added version number to README

Author: nevrome

README.Rmd

@@ -12,13 +12,13 @@ version](https://img.shields.io/github/r-package/v/nevrome/mobest)
 
 # mobest
 
-This R package provides types and functions for spatiotemporal interpolation of human genetic ancestry components, similarity search and the calculation of a derived measure for **mob**ility **est**imation. The workflow in version X.X.X was specifically developed to support this research compendium: <https://github.com/nevrome/mobest.analysis.2022>.
+This R package provides types and functions for spatiotemporal interpolation of human genetic ancestry components, similarity search and the calculation of a derived measure for **mob**ility **est**imation. The workflow in version 1.0.0 was specifically developed to support this research compendium: <https://github.com/nevrome/mobest.analysis.2022>.
 
 <img align="right" src="man/figures/example_movie.gif" width = 380>
 
 0. `mobest` assumes you have a set of genetic samples with spatial (two coordinates in a projected reference system) and temporal positions (years BC/AD) for which you calculated a derived, numeric measure of genetic ancestry (e.g. coordinates in a PCA or MDS space).
 1. `mobest` provides a framework to perform spatiotemporal interpolation using Gaussian process regression (kriging) with the [`laGP`](https://CRAN.R-project.org/package=laGP) package to reconstruct an ancestry field based on the ancestry measure you provided.
-2. `mobest` allows to derive a similarity probability for samples of interest within the interpolated field, which -- under certain circumstances -- can be interpreted as an origin probability. See the [example gif](man/figures/) on the right.
+2. `mobest` allows to derive a similarity probability for samples of interest within the interpolated field, which -- under certain circumstances -- can be interpreted as an origin probability. See the [example GIF](man/figures/) on the right.
 3. `mobest` finally introduces functions to estimate and summarize a measure of mobility for the samples of interest, based on the similarity probability field.
 
 Here is a simple, artificial example how 2. can be used:

README.md

@@ -10,7 +10,7 @@ version](https://img.shields.io/github/r-package/v/nevrome/mobest)
 This R package provides types and functions for spatiotemporal
 interpolation of human genetic ancestry components, similarity search
 and the calculation of a derived measure for **mob**ility
-**est**imation. The workflow in version X.X.X was specifically developed
+**est**imation. The workflow in version 1.0.0 was specifically developed
 to support this research compendium:
 <https://github.com/nevrome/mobest.analysis.2022>.
 
@@ -28,7 +28,7 @@ to support this research compendium:
 2.  `mobest` allows to derive a similarity probability for samples of
     interest within the interpolated field, which – under certain
     circumstances – can be interpreted as an origin probability. See the
-    [example gif](man/figures/) on the right.
+    [example GIF](man/figures/) on the right.
 3.  `mobest` finally introduces functions to estimate and summarize a
     measure of mobility for the samples of interest, based on the
     similarity probability field.