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Memory-Based Learning in Spectral Chemometrics

v2.2.5 · Apr 2, 2026 · MIT + file LICENSE

Description

Functions for dissimilarity analysis and memory-based learning (MBL, a.k.a local modeling) in complex spectral data sets. Most of these functions are based on the methods presented in Ramirez-Lopez et al. (2013) <doi:10.1016/j.geoderma.2012.12.014>.

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r-devel-linux-x86_64-fedora-gcc OK
r-devel-macos-arm64 OK
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NOTE r-oldrel-macos-arm64

installed package size

installed size is  9.5Mb
  sub-directories of 1Mb or more:
    doc    1.9Mb
    libs   7.0Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  9.8Mb
  sub-directories of 1Mb or more:
    doc    1.9Mb
    libs   7.3Mb

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-oldrel-macos-arm64

installed package size

installed size is  9.5Mb
  sub-directories of 1Mb or more:
    doc    1.9Mb
    libs   7.0Mb
NOTE r-oldrel-macos-x86_64

installed package size

installed size is  9.8Mb
  sub-directories of 1Mb or more:
    doc    1.9Mb
    libs   7.3Mb

Dependency Network

Dependencies Reverse dependencies foreach iterators Rcpp mathjaxr magrittr lifecycle data.table (>= 1.9.8) resemble

Version History

new 2.2.5 Mar 10, 2026
updated 2.2.5 ← 2.2.4 diff Oct 16, 2025
updated 2.2.4 ← 2.2.3 diff May 19, 2025
updated 2.2.3 ← 2.2.2 diff Feb 15, 2024
updated 2.2.2 ← 2.2.1 diff Apr 19, 2023
updated 2.2.1 ← 2.1.2 diff Aug 30, 2022
updated 2.1.2 ← 2.0.0 diff Jan 16, 2022
updated 2.0.0 ← 1.2.2 diff Nov 8, 2020
updated 1.2.2 ← 1.2.1 diff Mar 3, 2016
updated 1.2.1 ← 1.1.1 diff Feb 2, 2016
updated 1.1.1 ← 1.0 diff Mar 18, 2014
new 1.0 Mar 10, 2014