CRAN . RSTUDIO . COM {}

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We are analyzing https://cran.rstudio.com/web/packages/fields/index.html.

Title:
CRAN: Package fields
Description:
For curve, surface and function fitting with an emphasis on splines, spatial data, geostatistics, and spatial statistics. The major methods include cubic, and thin plate splines, Kriging, and compactly supported covariance functions for large data sets. The splines and Kriging methods are supported by functions that can determine the smoothing parameter (nugget and sill variance) and other covariance function parameters by cross validation and also by restricted maximum likelihood. For Kriging there is an easy to use function that also estimates the correlation scale (range parameter). A major feature is that any covariance function implemented in R and following a simple format can be used for spatial prediction. There are also many useful functions for plotting and working with spatial data as images. This package also contains an implementation of sparse matrix methods for large spatial data sets and currently requires the sparse matrix (spam) package. Use help(fields) to get started and for an overview. The fields source code is deliberately commented and provides useful explanations of numerical details as a companion to the manual pages. The commented source code can be viewed by expanding the source code version and looking in the R subdirectory. The reference for fields can be generated by the citation function in R and has DOI <<a href="https://doi.org/10.5065%2FD6W957CT" target="_top">doi:10.5065/D6W957CT</a>>. Development of this package was supported in part by the National Science Foundation Grant 1417857, the National Center for Atmospheric Research, and Colorado School of Mines. See the Fields URL for a vignette on using this package and some background on spatial statistics.
Website Age:
27 years and 1 months (reg. 1998-05-15).

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Science
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What CMS is cran.rstudio.com built with?

Custom-built

No common CMS systems were detected on Cran.rstudio.com, and no known web development framework was identified.

Traffic Estimate {📈}

What is the average monthly size of cran.rstudio.com audience?

🚀 Good Traffic: 50k - 100k visitors per month

Based on our best estimate, this website will receive around 50,019 visitors per month in the current month.
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How Does Cran.rstudio.com Make Money? {💸}

We don't see any clear sign of profit-making.

Not every website is profit-driven; some are created to spread information or serve as an online presence. Websites can be made for many reasons. This could be one of them. Cran.rstudio.com might have a hidden revenue stream, but it's not something we can detect.

Keywords {🔍}

spatial, fields, aut, data, function, package, methods, source, fieldstgz, reverse, splines, kriging, supported, covariance, functions, spam, code, citation, gpl, fieldszip, rrelease, roldrel, statistics, major, large, sets, parameter, sparse, matrix, commented, manual, version, reference, doi, national, url, depends, imports, suggests, douglas, nychka, binaries, arm, epimdr, tools, curve, surface, fitting, emphasis, geostatistics,

Topics {✒️}

large data sets douglas nychka [aut reinhard furrer [aut] john paige [aut] stephan sain [aut] florian gerber [aut] matthew iverson [aut] restricted maximum likelihood /dnychka/fieldsrpackage needscompilation gz windows binaries covariance function parameters covariance function implemented voss reverse imports wsyn reverse suggests commented source code fields results documentation canonical form https fields source code source code version thin plate splines zip macos binaries sparse matrix methods fields citation info spatial cran checks org/package=fields major feature sparse matrix national center spatial data deliberately commented viridislite imports maps suggests reverse depends spatial statistics spatial prediction function fitting citation function fields author package source smoothing parameter sill variance cross validation correlation scale range parameter simple format numerical details manual pages atmospheric research colorado school mapproj published

External Links {🔗}(21)

4.22s.