Software for data analysis

By J. Chambers. 2008

428 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/852aa5ee6ede693c7911960a80c653cd2b3e60d9

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In Artificial Intelligence

Citations in the corpus

unmarked: An R Package for Fitting Hierarchical Models of Wildlife Occurrence and Abundance (2011, methodology): “Use of class-based programming can provide more reliable and maintainable software while also making the program more user-friendly (Chambers 2008).”
The use of design of experiments to improve a neural network model in order to predict the thickness of the chromium layer in a hard chromium plating process (2010, methodology): “This model was performed with the package AMORE [32] of the free software environment for statistical computing called R [33].”
Comparative analysis of diversity and environmental niches of soil bacterial, archaeal, fungal and protist communities reveal niche divergences along environmental gradients in the Alps (2021, methodology): “To create spatial predictors, the geographic coordinates of the sampling sites were transformed to geodetic cartesian (x,y) coordinates using the SoDA package in R (Chambers, 2008) and the Euclidean distances among the sites was calculated using vegan.”
openair - An R package for air quality data analysis (2012, methodology): “In addition, it would be useful to deVne R classes for different data objects that capture other information such as the units used, the instrument type etc.; Chambers (2007) provides examples of beneVts of using and deVning classes.”
Applied Predictive Modeling (2013, background): “Chambers (2008) describes these techniques in greater detail.”
DiceKriging, DiceOptim: Two R Packages for the Analysis of Computer Experiments by Kriging-Based Metamodeling and Optimization (2012, methodology): “14 DiceKriging, DiceOptim: kriging-based metamodeling and optimization in R Chambers (2008) – of software providers.”