Package: gear 0.3.4

gear: Geostatistical Analysis in R

Implements common geostatistical methods in a clean, straightforward, efficient manner. The methods are discussed in Schabenberger and Gotway (2004, <ISBN:9781584883227>) and Waller and Gotway (2004, <ISBN:9780471387718>).

Authors:Joshua French

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gear.pdf |gear.html✨
gear/json (API)
NEWS

# Install 'gear' in R:
install.packages('gear', repos = c('https://jfrench.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • co - Geochemical measurements for 960 sites in Colorado.
  • toydata - A toy data set for examples

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.43 score 27 scripts 223 downloads 23 exports 41 dependencies

Last updated 5 years agofrom:c62d1c87d0. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 06 2024
R-4.5-win-x86_64OKNov 06 2024
R-4.5-linux-x86_64OKNov 06 2024
R-4.4-win-x86_64OKNov 06 2024
R-4.4-mac-x86_64OKNov 06 2024
R-4.4-mac-aarch64OKNov 06 2024
R-4.3-win-x86_64OKNov 06 2024
R-4.3-mac-x86_64OKNov 06 2024
R-4.3-mac-aarch64OKNov 06 2024

Exports:angle2dautoplot.evgramcmod_mancmod_stdcmod.mancmod.stddecomp_covdecomp.covestimateeval.cmodevaluateevgramganiso_dgeardfgeodistgeolmgeolm_fitll_xycholvmleploglik_xycholvsolve_cholvgramxyplot.evgram

Dependencies:autoimageBHclicolorspacedotCall64fansifarverfieldsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrmapprojmapsMASSMatrixMBAmgcvmunsellnlmenloptrnumDerivoptimxpillarpkgconfigpracmaR6RColorBrewerRcpprlangscalesspamtibbleutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
Determine angleangle2d
Plot 'evgram' objectautoplot.evgram
Manual covariance models for geostatistical data.cmod_man
Standard covariance models for geostatistical data.cmod_std
Standard covariance models for geostatistical data.cmod.man
Standard covariance models for geostatistical data.cmod.std
Geochemical measurements for 960 sites in Colorado.co
Decompose covariance matrixdecomp.cov decomp_cov
Estimate model parametersestimate
Determine MLEs of model parameters for a geostatistical modelestimate.geolm_cmodStd
Evaluate covariance or semivariance model.eval.cmod
Evaluate spatial dependence modelevaluate evaluate.cmodStd
Empirical (semi-)variogramevgram
Extract fitted values from a 'geolm' objectfitted.geolm
Anisotropic distance-related characteristicsganiso_d
geargear
Construct a 'geardf'geardf
Compute distance for geographic coordinatesgeodist
Linear model for geostatistical data.geolm
Fit a 'geolm'geolm_fit
Finds maximum likelihood estimates of model parameters for a geostatistical modelmle
Compute the log-likelihood of a modelll_xycholv ploglik_xycholv
Plot 'evgram' objectplot.evgram
Plot 'geardf' objectplot.geardf
Predict method for geostatistical modelspredict.geolm_cmodMan
Predict method for geostatistical modelspredict.geolm_cmodStd
Print 'evgram' objectprint.evgram
Extract residuals from a 'geolm' objectresiduals.geolm
Solve using cholesky decompositionsolve.chol solve_chol
A toy data set for examplestoydata
Update linear model for geostatistical dataupdate.geolm update.geolm_cmodMan update.geolm_cmodStd
Empirical variogramvgram
Plot 'evgram' objectxyplot.evgram