eRTG3D 0.6.2

Fourth submission to CRAN. Formal changes in the package description and enhanced testing.

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eRTG3D 0.6.1

Third submission to CRAN. Replaced the parallel version of the functions with one unifying parallel implementation for Unix (fork cluster) and Windows (PSOCK cluster) systems. The number of nodes in the cluster can be set manually, if no value is provided the number of detected cores minus one is used to set up the cluster.

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eRTG3D 0.6.0

Initial submission to CRAN. New github page created with pkgdown. Added continuous integration by Travis CI, unit testing with testthat and codecovr for test coverage assessment. Restructured and updated package documentation.

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eRTG3D 0.5.9

The 2-D case should also be handled by a 3-D algorithm, therefore the handling of 2-D trajectories is now enabled. To use simulations in 2-D, just pass in a data.frame where the z dimension is zero or has a constant value. The algorithm handles 2-D input correctly and the resulting simulations are valid. Since the third dimension is still part of the 2-D trajectory (either 0 or a constant value), the combination of 3-D and 2-D simulations is straight forward. Furthermore, the wrapper, plotting and testing functions are now also capable of handling 2-D input.

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eRTG3D 0.5.8

Replacement of .fd.bw with the R base function grDevices::nclass.FD, closes #29. Update required packages, documentation and vignettes.

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eRTG3D 0.5.6

Updated roxygen2 function documentations with examples that run properly. Declared all import statements properly. R CMD check --as-cran eRTG3D_0.5.6.tar.gz runs properly, no errors and warnings only 3 notes.

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eRTG3D 0.5.5

Parallel calculations are now also enabled for Windows, just set multicore=TRUE to use it. The 3-D plots are now adjusted to plotly 4.8.0, since the coloring is handled differently for markers and lines.

The package now is based on R 3.5.1 and all packages have been updated.

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eRTG3D 0.5.4

Dependencies updated, documentation updated and variable names in plots adjusted.

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eRTG3D 0.5.3

Public release of the R package as it was at the submission of the master’s thesis: Unterfinger, M (2018). “3-D Trajectory Simulation in Movement Ecology: Conditional Empirical Random Walk”. Master’s thesis. University of Zurich.

New features