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spmodel  

Spatial Statistical Modeling and Prediction
View on CRAN: Click here


Download and install spmodel package within the R console
Install from CRAN:
install.packages("spmodel")

Install from Github:
library("remotes")
install_github("cran/spmodel")

Install by package version:
library("remotes")
install_version("spmodel", "0.9.0")



Attach the package and use:
library("spmodel")
Maintained by
Michael Dumelle
[Scholar Profile | Author Map]
First Published: 2022-08-12
Latest Update: 2023-05-26
Description:
Fit, summarize, and predict for a variety of spatial statistical models applied to point-referenced and areal (lattice) data. Parameters are estimated using various methods. Additional modeling features include anisotropy, non-spatial random effects, partition factors, big data approaches, and more. Model-fit statistics are used to summarize, visualize, and compare models. Predictions at unobserved locations are readily obtainable. For additional details, see Dumelle et al. (2023) <doi:10.1371/journal.pone.0282524>.
How to cite:
Michael Dumelle (2022). spmodel: Spatial Statistical Modeling and Prediction. R package version 0.9.0, https://cran.r-project.org/web/packages/spmodel. Accessed 28 Feb. 2025.
Previous versions and publish date:
0.1.0 (2022-08-12 15:50), 0.1.1 (2022-10-20 20:00), 0.2.0 (2022-11-11 09:30), 0.3.0 (2023-03-10 10:40), 0.4.0 (2023-05-26 19:40), 0.5.0 (2023-10-25 21:40), 0.5.1 (2024-01-09 11:30), 0.6.0 (2024-04-17 01:40), 0.7.0 (2024-07-18 07:10), 0.8.0 (2024-08-28 00:40)
Other packages that cited spmodel R package
View spmodel citation profile
Other R packages that spmodel depends, imports, suggests or enhances
Complete documentation for spmodel
Functions, R codes and Examples using the spmodel R package
Some associated functions: AIC.spmodel . anova.spmodel . augment.spmodel . caribou . coef.spmodel . confint.spmodel . cooks.distance.spmodel . covmatrix . deviance.spmodel . dispersion_initial . dispersion_params . esv . fitted.spmodel . formula.spmodel . glance.spmodel . glances . hatvalues.spmodel . influence.spmodel . labels.spmodel . logLik.spmodel . loocv . model.frame.spmodel . model.matrix.spmodel . moose . moose_preds . moss . plot.spmodel . predict.spmodel . print.spmodel . pseudoR2 . randcov_initial . randcov_params . reexports . residuals.spmodel . seal . spautor . spautorRF . spcov_initial . spcov_params . spgautor . spglm . splm . splmRF . spmodel-package . sprbeta . sprbinom . sprgamma . sprinvgauss . sprnbinom . sprnorm . sprpois . sulfate . sulfate_preds . summary.spmodel . tidy.spmodel . varcomp . vcov.spmodel . 
Some associated R codes: AIC.R . AIC_glm.R . PseudoR2.R . PseudoR2_glm.R . anova.R . anova_glm.R . augment.R . augment_glm.R . check_optim_method.R . coef.R . coef_glm.R . confint.R . confint_glm.R . cooks.distance.R . cooks.distance_glm.R . cov_betahat_adjust.R . cov_estimate_cl.R . cov_estimate_gloglik.R . cov_estimate_laploglik.R . cov_estimate_sv.R . cov_initial_search.R . cov_initial_search_glm.R . cov_matrix.R . cov_vector.R . covmatrix.R . covmatrix_glm.R . data.R . deviance.R . deviance_glm.R . dispersion_checks.R . dispersion_initial.R . dispersion_initial_NA.R . dispersion_optim2orig.R . dispersion_orig2optim.R . dispersion_params.R . esv.R . fill_optim_par.R . fitted.R . fitted_glm.R . formula.R . formula_glm.R . get_L_list.R . get_anisotropy_corrected.R . get_cholprods.R . get_cholprods_glm.R . get_coefficients.R . get_coefficients_glm.R . get_cooks_distance.R . get_cooks_distance_glm.R . get_cov_matrix_list.R . get_data_object.R . get_data_object_glm.R . get_deviance_glm.R . get_eigenprods.R . get_eigenprods_glm.R . get_esv_dotlist.R . get_fitted.R . get_fitted_glm.R . get_glogclikloss.R . get_hatvalues.R . get_hatvalues_glm.R . get_initial_extra.R . get_initial_range.R . get_local_list.R . get_loocv.R . get_loocv_glm.R . get_minustwolaploglik.R . get_minustwologlik.R . get_model_stats.R . get_model_stats_glm.R . get_optim_dotlist.R . get_optim_par.R . get_optim_par_glm.R . get_prof_sigma2.R . get_randcov_list.R . get_randcov_names.R . get_residuals.R . get_residuals_glm.R . get_spcov_params.R . get_svloss.R . get_vcov.R . get_vcov_glm.R . get_wts_varw.R . glance.R . glance_glm.R . glances.R . glances_glm.R . glogclik.R . gloglik.R . gloglik_anis.R . gloglik_products.R . hatvalues.R . hatvalues_glm.R . hwInv.R . influence.R . influence_glm.R . labels.R . labels_glm.R . laploglik.R . laploglik_anis.R . laploglik_products.R . logLik.R . logLik_glm.R . loocv.R . loocv_glm.R . model.frame.R . model.frame_glm.R . model.matrix.R . model.matrix_glm.R . partition_matrix.R . partition_vector.R . plot.R . plot_glm.R . predict.R . predict_glm.R . print.R . print_glm.R . randcov_initial.R . randcov_intial_NA.R . randcov_matrix.R . randcov_optim2orig.R . randcov_orig2optim.R . randcov_params.R . randcov_vector.R . replace_data_object_dimcoords1.R . residuals.R . residuals_glm.R . response_checks_glm.R . sf_to_df.R . smwInv_rand.R . spautor.R . spautorRF.R . spautor_checks.R . spautor_matrixInv.R . spcov_initial.R . spcov_initial_NA.R . spcov_initial_NA_glm.R . spcov_matrix.R . spcov_matrixInv_de.R . spcov_optim2orig.R . spcov_orig2optim.R . spcov_params.R . spcov_vector.R . spdist.R . spdist_vectors.R . spgautor.R . spgautor_checks.R . spglm.R . spglm_checks.R . splm.R . splmRF.R . splm_checks.R . spmodel-package.R . sprbeta.R . sprbinom.R . sprgamma.R . sprinvgauss.R . sprnbinom.R . sprnorm.R . sprpois.R . summary.R . summary_glm.R . svloss.R . tidy.R . tidy_glm.R . transform_anis.R . use_glogclik.R . use_glogclik_known.R . use_gloglik.R . use_gloglik_anis.R . use_gloglik_iid.R . use_gloglik_known.R . use_gloglik_known_anis.R . use_laploglik.R . use_laploglik_anis.R . use_laploglik_known.R . use_laploglik_known_anis.R . use_svloss.R . use_svloss_known.R . utils.R . varcomp.R . varcomp_glm.R . vcov.R . vcov_glm.R . weights.R .  Full spmodel package functions and examples
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