spStack
Bayesian Geostatistics Using Predictive Stacking
v1.1.3
·
Mar 8, 2026
·
GPL-3
Description
Fits Bayesian hierarchical spatial and spatial-temporal process models for point-referenced Gaussian, Poisson, binomial, and binary data using stacking of predictive densities. It involves sampling from analytically available posterior distributions conditional upon candidate values of the spatial process parameters and, subsequently assimilate inference from these individual posterior distributions using Bayesian predictive stacking. Our algorithm is highly parallelizable and hence, much faster than traditional Markov chain Monte Carlo algorithms while delivering competitive predictive performance. See Zhang, Tang, and Banerjee (2025) <doi:10.1080/01621459.2025.2566449>, and, Pan, Zhang, Bradley, and Banerjee (2025) <doi:10.1214/25-BA1582> for details.
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| Flavor | Status |
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| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | OK |
| r-devel-linux-x86_64-fedora-gcc | OK |
| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | OK |
| r-oldrel-macos-x86_64 | OK |
| r-oldrel-windows-x86_64 | OK |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | ERROR |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
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r-devel-linux-x86_64-debian-clang
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r-devel-linux-x86_64-debian-gcc
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r-devel-linux-x86_64-fedora-clang
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r-devel-linux-x86_64-fedora-gcc
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r-devel-macos-arm64
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OK
r-devel-windows-x86_64
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r-oldrel-macos-arm64
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r-oldrel-macos-x86_64
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r-oldrel-windows-x86_64
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r-patched-linux-x86_64
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ERROR
r-release-linux-x86_64
examples
Running examples in ‘spStack-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: get_stacking_weights
> ### Title: Optimal stacking weights
> ### Aliases: get_stacking_weights
>
> ### ** Examples
>
> set.seed(1234)
> data(simGaussian)
> dat <- simGaussian[1:100, ]
>
> mod1 <- spLMstack(y ~ x1, data = dat,
+ coords = as.matrix(dat[, c("s1", "s2")]),
+ cor.fn = "matern",
+ params.list = list(phi = c(1.5, 3),
+ nu = c(0.5, 1),
+ noise_sp_ratio = c(1)),
+ n.samples = 1000, loopd.method = "exact",
+ parallel = FALSE, solver = "ECOS", verbose = TRUE)
Error in `method(solve_via_data, CVXR::ECOS_Solver)`:
! Package ECOSolveR is required but not installed.
Backtrace:
▆
1. └─spStack::spLMstack(...)
2. └─spStack::get_stacking_weights(loopd_mat, solver = solver)
3. └─CVXR::psolve(prob, solver = solver)
4. └─CVXR::solve_via_data(...)
5. ├─S7::S7_dispatch()
6. └─CVXR (local) `method(solve_via_data, CVXR::SolvingChain)`(...)
7. └─CVXR::solve_via_data(...)
8. ├─S7::S7_dispatch()
9. └─CVXR (local) `method(solve_via_data, CVXR::ECOS_Solver)`(...)
10. └─cli::cli_abort("Package {.pkg ECOSolveR} is required but not installed.")
11. └─rlang::abort(...)
Execution halted
ERROR
r-release-linux-x86_64
re-building of vignette outputs
Error(s) in re-building vignettes:
...
--- re-building ‘posterior-predictive.Rmd’ using rmarkdown
Quitting from posterior-predictive.Rmd:42-59 [unnamed-chunk-2]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `method(solve_via_data, CVXR::ECOS_Solver)`:
! Package ECOSolveR is required but not installed.
---
Backtrace:
▆
1. └─spStack::spLMstack(...)
2. └─spStack::get_stacking_weights(loopd_mat, solver = solver)
3. └─CVXR::psolve(prob, solver = solver)
4. └─CVXR::solve_via_data(...)
5. ├─S7::S7_dispatch()
6. └─CVXR (local) `method(solve_via_data, CVXR::SolvingChain)`(...)
7. └─CVXR::solve_via_data(...)
8. ├─S7::S7_dispatch()
9. └─CVXR (local) `method(solve_via_data, CVXR::ECOS_Solver)`(...)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'posterior-predictive.Rmd' failed with diagnostics:
Package ECOSolveR is required but not installed.
--- failed re-building ‘posterior-predictive.Rmd’
--- re-building ‘spStack.Rmd’ using rmarkdown
Quitting from spStack.Rmd:50-59 [unnamed-chunk-4]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `method(solve_via_data, CVXR::ECOS_Solver)`:
! Package ECOSolveR is required but not installed.
---
Backtrace:
▆
1. └─spStack::spLMstack(...)
2. └─spStack::get_stacking_weights(loopd_mat, solver = solver)
3. └─CVXR::psolve(prob, solver = solver)
4. └─CVXR::solve_via_data(...)
5. ├─S7::S7_dispatch()
6. └─CVXR (local) `method(solve_via_data, CVXR::SolvingChain)`(...)
7. └─CVXR::solve_via_data(...)
8. ├─S7::S7_dispatch()
9. └─CVXR (local) `method(solve_via_data, CVXR::ECOS_Solver)`(...)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'spStack.Rmd' failed with diagnostics:
Package ECOSolveR is required but not installed.
--- failed re-building ‘spStack.Rmd’
--- re-building ‘spatial-temporal.Rmd’ using rmarkdown
Quitting from spatial-temporal.Rmd:203-213 [unnamed-chunk-14]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `method(solve_via_data, CVXR::ECOS_Solver)`:
! Package ECOSolveR is required but not installed.
---
Backtrace:
▆
1. └─spStack::stvcGLMstack(...)
2. └─spStack::get_stacking_weights(loopd_mat, solver = solver)
3. └─CVXR::psolve(prob, solver = solver)
4. └─CVXR::solve_via_data(...)
5. ├─S7::S7_dispatch()
6. └─CVXR (local) `method(solve_via_data, CVXR::SolvingChain)`(...)
7. └─CVXR::solve_via_data(...)
8. ├─S7::S7_dispatch()
9. └─CVXR (local) `method(solve_via_data, CVXR::ECOS_Solver)`(...)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'spatial-temporal.Rmd' failed with diagnostics:
Package ECOSolveR is required but not installed.
--- failed re-building ‘spatial-temporal.Rmd’
--- re-building ‘spatial.Rmd’ using rmarkdown
Quitting from spatial.Rmd:128-138 [spLMstack]
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
<error/rlang_error>
Error in `method(solve_via_data, CVXR::ECOS_Solver)`:
! Package ECOSolveR is required but not installed.
---
Backtrace:
▆
1. └─spStack::spLMstack(...)
2. └─spStack::get_stacking_weights(loopd_mat, solver = solver)
3. └─CVXR::psolve(prob, solver = solver)
4. └─CVXR::solve_via_data(...)
5. ├─S7::S7_dispatch()
6. └─CVXR (local) `method(solve_via_data, CVXR::SolvingChain)`(...)
7. └─CVXR::solve_via_data(...)
8. ├─S7::S7_dispatch()
9. └─CVXR (local) `method(solve_via_data, CVXR::ECOS_Solver)`(...)
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Error: processing vignette 'spatial.Rmd' failed with diagnostics:
Package ECOSolveR is required but not installed.
--- failed re-building ‘spatial.Rmd’
--- re-building ‘technical_overview.Rmd’ using rmarkdown
[WARNING] Deprecated: --highlight-style. Use --syntax-highlighting instead.
--- finished re-building ‘technical_overview.Rmd’
SUMMARY: processing the following files failed:
‘posterior-predictive.Rmd’ ‘spStack.Rmd’ ‘spatial-temporal.Rmd’
‘spatial.Rmd’
Error: Vignette re-building failed.
Execution halted
OK
r-release-macos-arm64
*
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r-release-macos-x86_64
*
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r-release-windows-x86_64
*
Check History
ERROR 13 OK · 0 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Mar 9, 2026
ERROR
r-release-linux-x86_64
examples
Running examples in ‘spStack-Ex.R’ failed
The error most likely occurred in:
> base::assign(".ptime", proc.time(), pos = "CheckExEnv")
> ### Name: get_stacking_weights
> ### Title: Optimal stacking weights
> ### Aliases: get_stacking_weights
>
> ### ** Examples
>
> set.seed(1234)
> data(simGaussian)
> dat <- simGaussian[1:100, ]
>
> mod1 <- spLMstack(y ~ x1, data = dat,
+ coords = as.matrix(dat[, c("s1", "s2")]),
+ cor.fn = "matern",
+ pa
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Version History
new
1.1.3
Mar 9, 2026