This package is considered a duplicate. The official version of this package is found at:https://jmhewitt.r-universe.dev/telefit

Package: telefit 1.0.3

Joshua Hewitt

telefit: Estimation and Prediction for Remote Effects Spatial Process Models

Implementation of the remote effects spatial process (RESP) model for teleconnection. The RESP model is a geostatistical model that allows a spatially-referenced variable (like average precipitation) to be influenced by covariates defined on a remote domain (like sea surface temperatures). The RESP model is introduced in Hewitt et al. (2018) <doi:10.1002/env.2523>. Sample code for working with the RESP model is available at <https://jmhewitt.github.io/research/resp_example>. This material is based upon work supported by the National Science Foundation under grant number AGS 1419558. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.

Authors:Joshua Hewitt

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telefit/json (API)
NEWS

# Install 'telefit' in R:

install.packages('telefit', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

Datasets:

coprecip - Standardized anomalies of CO Precipitation
coprecip.fit - Sample MCMC output for the RESP model
coprecip.predict - Sample composition sampling output for the RESP model

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

1.49 score 31 scripts 152 downloads 20 exports 59 dependencies

Last updated 5 years agofrom:5dc0901767. Checks:OK: 1 NOTE: 1. Indexed: no.

Target	Result	Date
Doc / Vignettes	OK	Nov 08 2024
R-4.5-linux-x86_64	NOTE	Nov 08 2024

Exports:cca.predict eof extractStData forwardsolve.kron HPDinterval.stFit invWSamp kronSamp maternCov maternEffectiveRange stEval stFit stLL stPredict stSimulate stVIF summariseAlpha summariseEOFAlpha svcFit svcPredict teleCor

Dependencies:abind cli coda codetools colorspace cowplot dotCall64 dplyr evaluate fansi farver fields foreach generics ggplot2 glue gtable highr isoband iterators itertools knitr labeling lattice lifecycle magrittr maps MASS Matrix mgcv munsell mvtnorm nlme pillar pkgconfig plyr R6 raster RColorBrewer Rcpp RcppArmadillo RcppEigen reshape2 rlang scales scoringRules sp spam stringi stringr terra tibble tidyselect utf8 vctrs viridisLite withr xfun yaml

Help page	Topics
Convenience function for stacking matrices into an array.	abind3
Reshape array of data matrices into long format	arrayToLong
Make predictions using canonical correlation analysis (CCA)	cca.predict
Compute point estimates for parameters from posterior samples	coef.stFit
Compute point estimates for parameters from posterior samples	coef.stPredict
Standardized anomalies of CO Precipitation	coprecip
Sample MCMC output for the RESP model	coprecip.fit
Sample composition sampling output for the RESP model	coprecip.predict
Evaluate kron(A,B) * C without storing kron(A,B)	dgemkmm
Performs an EOF decomposition of the data	eof
Wrapper for a function to dump errors from C++	errDump
Extract region from a SpatialGridDataFrame	extractRegion
Basic extraction of SpatialGridDataFrame data for teleconnection analysis	extractStData
Solves a triangular system with a Kronecker product structure	forwardsolve.kron
Compute Highest posterior density intervals from posterior samples	HPDinterval.stFit
Samples an Inverse-Wishart matrix	invWSamp
Samples a multivariate normal with a Kronecker product covariance structure	kronSamp
Formatting for longitude scales in ggplot spatial maps	lat_trans
Formatting for longitude scales in ggplot spatial maps	lon_trans
Matern covariance	maternArray
Matern covariance	maternCov
Compute effective range for Matern correlation to drop to a specified level	maternEffectiveRange
Combine results from composition sampler	mergeComposition
Combine sample covariance matrices from two samples	mergeCovmat
Combine sample means from two samples	mergeMean
Combine sample variances from two samples	mergeVar
Plot stData objects	plot.stData
Plot stFit objects	plot.stFit
Plot stPredict objects	plot.stPredict
Plots teleconnection correlation maps	plot.teleCor
Simulate matrices from matrix normal distributions	rmatnorm
Random wishart matrix	rwishart
Basic evaluation of fit	stEval
Fit the remote effects spatial process (RESP) model	stFit
Compute log likelihood for model	stLL
Compute forecasts based on posterior samples	stPredict
Simulate responses from the spatio-temporal teleconnection model	stSimulate
Computes variance inflation factors for fixed effects of the teleconnection model	stVIF
Summarize alphas	summariseAlpha
Summarize eof-mapped alphas	summariseEOFAlpha
Plot stPredict objects	summary.stPredict
Fit a spatially varying coefficient model	svcFit
Make predictions using a fitted varying coefficient model	svcPredict
Pointwise correlations for an exploratory teleconnection analysis	teleCor
Tools for modeling teleconnections	telefit

Package: telefit 1.0.3

telefit: Estimation and Prediction for Remote Effects Spatial Process Models

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