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AFM: Atomic Force Microscope Image Analysis

Provides Atomic Force Microscope images analysis such as Gaussian mixes identification, Power Spectral Density, roughness against lengthscale, experimental variogram and variogram models, fractal dimension and scale, 2D network analysis. The AFM images can be exported to STL format for 3D printing.

Version: 2.0
Depends: R (≥ 3.4)
Imports: data.table (≥ 1.9.6), stringr (≥ 1.0.0), gstat (≥ 1.0-26), fractaldim (≥ 0.8-4), rgl (≥ 0.96), pracma (≥ 1.8.6), grid (≥ 3.1.3), gridExtra (≥ 2.0.0), moments (≥ 0.14), ggplot2 (≥ 1.0.1), sp (≥ 1.2-0), png (≥ 0.1-7), plyr (≥ 1.8.3), igraph (≥ 1.0.1), methods (≥ 3.1.3), shiny (≥ 0.12.2), shinyjs (≥ 0.4.0), scales (≥ 0.4.0), dbscan (≥ 0.9-8), mixtools (≥ 1.0.4), fftwtools (≥ 0.9-8)
Published: 2020-10-07
DOI: 10.32614/CRAN.package.AFM
Author: Mathieu Beauvais [aut, cre], Irma Liascukiene [aut], Jessem Landoulsi [aut]
Maintainer: Mathieu Beauvais <beauvais.escp at gmail.com>
License: AGPL-3
NeedsCompilation: no
Citation: AFM citation info
Materials: NEWS
CRAN checks: AFM results

Documentation:

Reference manual: AFM.pdf

Downloads:

Package source: AFM_2.0.tar.gz
Windows binaries: r-devel: AFM_2.0.zip, r-release: AFM_2.0.zip, r-oldrel: AFM_2.0.zip
macOS binaries: r-release (arm64): AFM_2.0.tgz, r-oldrel (arm64): AFM_2.0.tgz, r-release (x86_64): AFM_2.0.tgz, r-oldrel (x86_64): AFM_2.0.tgz
Old sources: AFM archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=AFM to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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