Package: SSNbayes 0.1.2

Edgar Santos-Fernandez

SSNbayes: Bayesian Spatio-Temporal Analysis in Stream Networks

Fits Bayesian spatio-temporal models and makes predictions on stream networks using the approach by Santos-Fernandez, Edgar, et al. (2022)."Bayesian spatio-temporal models for stream networks" and Santos-Fernandez, Edgar, et al. (2023). "SSNbayes: An R Package for Bayesian Spatio-Temporal Modelling on Stream Networks". In these models, spatial dependence is captured using stream distance and flow connectivity, while temporal autocorrelation is modelled using vector autoregression methods.

Authors:Edgar Santos-Fernandez [aut, cre, cph]

SSNbayes_0.1.2.tar.gz
SSNbayes_0.1.2.zip(r-4.7-any)SSNbayes_0.1.2.zip(r-4.6-any)SSNbayes_0.1.2.zip(r-4.5-any)
SSNbayes_0.1.2.tgz(r-4.6-any)SSNbayes_0.1.2.tgz(r-4.5-any)
SSNbayes_0.1.2.tar.gz(r-4.7-any)SSNbayes_0.1.2.tar.gz(r-4.6-any)
SSNbayes_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SSNbayes/json (API)

# Install 'SSNbayes' in R:

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

Bug tracker:https://github.com/edgarsantos-fernandez/ssnbayes/issues

On CRAN:

5.00 score 20 stars 9 scripts 270 downloads 12 exports 140 dependencies

Last updated from:f8a9d5efdc. Checks:7 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel	WARNING	219
source / vignettes	OK	401
linux-release	WARNING	256
macos-release	WARNING	245
macos-oldrel	WARNING	255
windows-devel	WARNING	251
windows-release	WARNING	217
windows-oldrel	WARNING	163
wasm-release	OK	202

Exports:barst collapse dist_weight_mat dist_weight_mat_preds generate_osm_ssn krig krig2 mylm pred_ssnbayes ssnbayes ssnbayes2 starn

Dependencies:abind askpass backports base64enc BH bit bit64 blob bslib cachem callr checkmate class classInt cli codetools config cpp11 crayon crosstalk curl DBI desc digest distributional doParallel dplyr e1071 evaluate farver fastmap filematrix fontawesome foreach fs gam generics geometries geosphere ggplot2 glue gridExtra gtable here highr htmltools htmlwidgets httr httr2 igraph inline isoband iterators itertools jquerylib jsonlite keras KernSmooth knitr labeling lattice lazyeval leaflet leaflet.providers lifecycle loo lwgeom magrittr Matrix matrixStats memoise mime mtsdi numDeriv openssl osmdata otel pillar pkgbuild pkgconfig plyr png posterior processx proxy ps purrr QuickJSR R6 rappdirs raster RColorBrewer Rcpp RcppEigen RcppParallel RcppTOML reticulate rlang rmarkdown rprojroot RSQLite rstan rstudioapi rvest s2 S7 sass scales selectr sf sfheaders sfnetworks sp spmodel SSN2 StanHeaders stringi stringr sys tensorA tensorflow terra tfautograph tfruns tibble tidygraph tidyr tidyselect tinytex units utf8 vctrs viridisLite whisker withr wk xfun xml2 yaml zeallot

SSNbayes

Rendered fromSSNbayes.Rmdusingknitr::rmarkdown

Last update: 2021-10-12
Started: 2021-10-12

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Bayesian Autoregressive Spatio-Temporal model (BARST)	barst
Boise River spatio-temporal stream-network dataset	boise
Collapses a SpatialStreamNetwork object into a data frame	collapse
Combines two `sf` objects, the sensor locations and river network, in to an `sfnetwork`.	convert_network_to_graph
Creates a list containing the stream distances and weights	dist_weight_mat
Creates a list of distances and weights between observed and prediction sites	dist_weight_mat_preds
Converts a dataframe containing sensor data in to an `sf` object	format_sensor_data
Creates a list containing the stream distances and weights	gen_distance_matrices
Generates an Open Street Maps Spatial Stream Network.	generate_osm_ssn
Creates an `sf` dataframe containing equally spaced points on a river network	generate_prediction_locations
Takes an `sf` object as input, and queries Open Street Maps for rivers and streams within the bounds of the sensor locations.	generate_river_network
Internal function used to perform spatio-temporal prediction in R using a stanfit object from ssnbayes()	krig
Internal function used to perform spatio-temporal prediction in R using a stanfit object from ssnbayes()	krig2
A simple modeling function using a formula and data	mylm
Internal function used to perform spatio-temporal prediction in R using a stanfit object from ssnbayes()	pred_ssnbayes
Performs spatio-temporal prediction in R using an ssnbayes object from a fitted model.	predict.ssnbayes
Performs spatio-temporal prediction in R using an ssnbayes object from a fitted model.	predict.ssnbayes2
Fits a mixed linear regression model using Stan	ssnbayes
Fits a mixed linear regression model using Stan. This is an updated version of ssnbayes()	ssnbayes2
Spatio-Temporal Attention Regression Network (STARN)	starn