stlplus
Enhanced Seasonal Decomposition of Time Series by Loess
Description
Decompose a time series into seasonal, trend, and remainder components using an implementation of Seasonal Decomposition of Time Series by Loess (STL) that provides several enhancements over the STL method in the stats package. These enhancements include handling missing values, providing higher order (quadratic) loess smoothing with automated parameter choices, frequency component smoothing beyond the seasonal and trend components, and some basic plot methods for diagnostics.
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CRAN Check Status
Show all 13 flavors
| 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 | OK |
| r-devel-linux-x86_64-fedora-gcc | 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 | OK |
| r-release-macos-arm64 | OK |
| r-release-macos-x86_64 | OK |
| r-release-windows-x86_64 | OK |
Check History
OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE May 12, 2026
ERROR 9 OK · 4 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE Mar 10, 2026
compiled code
File ‘stlplus/libs/stlplus.so’: Found no calls to: ‘R_registerRoutines’, ‘R_useDynamicSymbols’ It is good practice to register native routines and to disable symbol search. See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.
compiled code
File ‘stlplus/libs/stlplus.so’: Found no calls to: ‘R_registerRoutines’, ‘R_useDynamicSymbols’ It is good practice to register native routines and to disable symbol search. See ‘Writing portable packages’ in the ‘Writing R Extensions’ manual.
LazyData
'LazyData' is specified without a 'data' directory
LazyData
'LazyData' is specified without a 'data' directory
LazyData
'LazyData' is specified without a 'data' directory
Reverse Dependencies (4)
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Dependency Network
Version History
2 trackedR Observatory began tracking this package on Mar 10, 2026; it first appeared on CRAN Jan 6, 2016. Releases before tracking aren’t shown.