spmodel
Spatial Statistical Modeling and Prediction
v0.12.0
·
Jan 23, 2026
·
GPL-3
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>.
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| Flavor | Status |
|---|---|
| r-devel-linux-x86_64-debian-clang | OK |
| r-devel-linux-x86_64-debian-gcc | OK |
| r-devel-linux-x86_64-fedora-clang | ERROR |
| r-devel-linux-x86_64-fedora-gcc | ERROR |
| r-devel-macos-arm64 | OK |
| r-devel-windows-x86_64 | OK |
| r-oldrel-macos-arm64 | NOTE |
| r-oldrel-macos-x86_64 | NOTE |
| r-oldrel-windows-x86_64 | NOTE |
| r-patched-linux-x86_64 | OK |
| r-release-linux-x86_64 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check details (16 non-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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ERROR
r-devel-linux-x86_64-fedora-clang
examples
Running examples in ‘spmodel-Ex.R’ failed
The error most likely occurred in:
> ### Name: augment.spmodel
> ### Title: Augment data with information from fitted model objects
> ### Aliases: augment.spmodel augment.splm augment.spautor augment.spglm
> ### augment.spgautor
>
> ### ** Examples
>
> spmod <- splm(z ~ water + tarp,
+ data = caribou,
+ spcov_type = "exponential", xcoord = x, ycoord = y
+ )
> augment(spmod)
# A tibble: 30 × 10
z water tarp x y .fitted .resid .hat .cooksd .std.resid
<dbl> <fct> <fct> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2.42 Y clear 1 6 1.97 0.454 0.116 0.209 2.53
2 2.44 Y shade 2 6 2.25 0.190 0.137 0.0468 1.09
3 1.81 Y none 3 6 2.05 -0.237 0.137 0.0752 -1.38
4 1.97 N clear 4 6 2.05 -0.0838 0.174 0.00211 -0.200
5 2.38 N shade 5 6 2.34 0.0407 0.153 0.0159 0.594
6 2.22 Y none 1 5 2.05 0.177 0.147 0.0434 1.00
7 2.10 N clear 2 5 2.05 0.0512 0.156 0.00936 0.450
8 1.80 Y clear 3 5 1.97 -0.163 0.122 0.0135 -0.624
9 1.96 Y shade 4 5 2.25 -0.290 0.119 0.0642 -1.38
10 2.10 Y none 5 5 2.05 0.0522 0.131 0.0264 0.837
# ℹ 20 more rows
> spmod_sulf <- splm(sulfate ~ 1, data = sulfate, spcov_type = "exponential")
> augment(spmod_sulf)
Simple feature collection with 197 features and 6 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: -2292550 ymin: 386181.1 xmax: 2173345 ymax: 3090370
Projected CRS: NAD83 / Conus Albers
# A tibble: 197 × 7
sulfate .fitted .resid .hat .cooksd .std.resid geometry
* <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <POINT [m]>
1 12.9 5.92 7.00 0.00334 0.00161 -0.694 (817738.8 1080571)
2 20.2 5.92 14.2 0.00256 0.00192 0.865 (914593.6 1295545)
3 16.8 5.92 10.9 0.00259 0.000395 0.390 (359574.1 1178228)
4 16.2 5.92 10.3 0.00239 0.000363 0.390 (265331.9 1239089)
5 7.86 5.92 1.93 0.00202 0.00871 -2.07 (304528.8 1453636)
6 15.4 5.92 9.43 0.00201 0.000240 0.345 (162932.8 1451625)
7 0.986 5.92 -4.94 0.00380 0.000966 -0.503 (-1437776 1568022)
8 0.425 5.92 -5.50 0.0138 0.00584 -0.646 (-1572878 1125529)
9 3.58 5.92 -2.34 0.00673 0.0000148 -0.0467 (-1282009 1204889)
10 2.38 5.92 -3.54 0.0123 0.0000139 -0.0335 (-1972775 1464991)
# ℹ 187 more rows
> augment(spmod_sulf, newdata = sulfate_preds)
OMP: Warning #96: Cannot form a team with 24 threads, using 2 instead.
OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set).
ERROR
r-devel-linux-x86_64-fedora-clang
re-building of vignette outputs
Error(s) in re-building vignettes: --- re-building ‘introduction.Rmd’ using rmarkdown OMP: Warning #96: Cannot form a team with 24 threads, using 2 instead. OMP: Hint Consider unsetting KMP_DEVICE_THREAD_LIMIT (KMP_ALL_THREADS), KMP_TEAMS_THREAD_LIMIT, and OMP_THREAD_LIMIT (if any are set).
ERROR
r-devel-linux-x86_64-fedora-gcc
examples
Running examples in ‘spmodel-Ex.R’ failed
The error most likely occurred in:
> ### Name: augment.spmodel
> ### Title: Augment data with information from fitted model objects
> ### Aliases: augment.spmodel augment.splm augment.spautor augment.spglm
> ### augment.spgautor
>
> ### ** Examples
>
> spmod <- splm(z ~ water + tarp,
+ data = caribou,
+ spcov_type = "exponential", xcoord = x, ycoord = y
+ )
> augment(spmod)
# A tibble: 30 × 10
z water tarp x y .fitted .resid .hat .cooksd .std.resid
<dbl> <fct> <fct> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
1 2.42 Y clear 1 6 1.97 0.454 0.116 0.209 2.53
2 2.44 Y shade 2 6 2.25 0.190 0.137 0.0468 1.09
3 1.81 Y none 3 6 2.05 -0.237 0.137 0.0752 -1.38
4 1.97 N clear 4 6 2.05 -0.0838 0.174 0.00211 -0.200
5 2.38 N shade 5 6 2.34 0.0407 0.153 0.0159 0.594
6 2.22 Y none 1 5 2.05 0.177 0.147 0.0434 1.00
7 2.10 N clear 2 5 2.05 0.0512 0.156 0.00936 0.450
8 1.80 Y clear 3 5 1.97 -0.163 0.122 0.0135 -0.624
9 1.96 Y shade 4 5 2.25 -0.290 0.119 0.0642 -1.38
10 2.10 Y none 5 5 2.05 0.0522 0.131 0.0264 0.837
# ℹ 20 more rows
> spmod_sulf <- splm(sulfate ~ 1, data = sulfate, spcov_type = "exponential")
> augment(spmod_sulf)
Simple feature collection with 197 features and 6 fields
Geometry type: POINT
Dimension: XY
Bounding box: xmin: -2292550 ymin: 386181.1 xmax: 2173345 ymax: 3090370
Projected CRS: NAD83 / Conus Albers
# A tibble: 197 × 7
sulfate .fitted .resid .hat .cooksd .std.resid geometry
* <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <POINT [m]>
1 12.9 5.92 7.00 0.00334 0.00161 -0.694 (817738.8 1080571)
2 20.2 5.92 14.2 0.00256 0.00192 0.865 (914593.6 1295545)
3 16.8 5.92 10.9 0.00259 0.000395 0.390 (359574.1 1178228)
4 16.2 5.92 10.3 0.00239 0.000363 0.390 (265331.9 1239089)
5 7.86 5.92 1.93 0.00202 0.00871 -2.07 (304528.8 1453636)
6 15.4 5.92 9.43 0.00201 0.000240 0.345 (162932.8 1451625)
7 0.986 5.92 -4.94 0.00380 0.000966 -0.503 (-1437776 1568022)
8 0.425 5.92 -5.50 0.0138 0.00584 -0.646 (-1572878 1125529)
9 3.58 5.92 -2.34 0.00673 0.0000148 -0.0467 (-1282009 1204889)
10 2.38 5.92 -3.54 0.0123 0.0000139 -0.0335 (-1972775 1464991)
# ℹ 187 more rows
> augment(spmod_sulf, newdata = sulfate_preds)
ERROR
r-devel-linux-x86_64-fedora-gcc
re-building of vignette outputs
Error(s) in re-building vignettes: --- re-building ‘introduction.Rmd’ using rmarkdown
OK
r-devel-macos-arm64
*
OK
r-devel-windows-x86_64
*
NOTE
r-oldrel-macos-arm64
installed package size
installed size is 5.8Mb
sub-directories of 1Mb or more:
R 2.0Mb
data 1.7Mb
doc 1.5Mb
NOTE
r-oldrel-macos-x86_64
installed package size
installed size is 5.9Mb
sub-directories of 1Mb or more:
R 2.0Mb
data 1.8Mb
doc 1.5Mb
NOTE
r-oldrel-windows-x86_64
installed package size
installed size is 5.0Mb
sub-directories of 1Mb or more:
R 1.2Mb
data 1.7Mb
doc 1.5Mb
OK
r-patched-linux-x86_64
*
OK
r-release-linux-x86_64
*
OK
r-release-macos-arm64
*
OK
r-release-macos-x86_64
*
OK
r-release-windows-x86_64
*
Check History
ERROR 9 OK · 3 NOTE · 0 WARNING · 2 ERROR · 0 FAILURE Mar 9, 2026
ERROR
r-devel-linux-x86_64-fedora-clang
examples
Running examples in ‘spmodel-Ex.R’ failed
The error most likely occurred in:
> ### Name: augment.spmodel
> ### Title: Augment data with information from fitted model objects
> ### Aliases: augment.spmodel augment.splm augment.spautor augment.spglm
> ### augment.spgautor
>
> ### ** Examples
>
> spmod <- splm(z ~ water + tarp,
+ data = caribou,
+ spcov_type = "exponential", xcoord = x, ycoord = y
+ )
> augment(spmod)
# A tibble: 30 × 10
z water tarp x y .fitted .resid .h
ERROR
r-devel-linux-x86_64-fedora-gcc
examples
Running examples in ‘spmodel-Ex.R’ failed
The error most likely occurred in:
> ### Name: augment.spmodel
> ### Title: Augment data with information from fitted model objects
> ### Aliases: augment.spmodel augment.splm augment.spautor augment.spglm
> ### augment.spgautor
>
> ### ** Examples
>
> spmod <- splm(z ~ water + tarp,
+ data = caribou,
+ spcov_type = "exponential", xcoord = x, ycoord = y
+ )
> augment(spmod)
# A tibble: 30 × 10
z water tarp x y .fitted .resid .h
NOTE
r-oldrel-macos-arm64
installed package size
installed size is 5.8Mb
sub-directories of 1Mb or more:
R 2.0Mb
data 1.7Mb
doc 1.5Mb
NOTE
r-oldrel-macos-x86_64
installed package size
installed size is 5.9Mb
sub-directories of 1Mb or more:
R 2.0Mb
data 1.8Mb
doc 1.5Mb
NOTE
r-oldrel-windows-x86_64
installed package size
installed size is 5.0Mb
sub-directories of 1Mb or more:
R 1.2Mb
data 1.7Mb
doc 1.5Mb
Reverse Dependencies (1)
imports
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Version History
new
0.12.0
Mar 9, 2026