https://pamdeveloper.r-universe.devRecent package updates in pamdeveloperR-universehttps://github.com/pamdeveloper.pnghttps://pamdeveloper.r-universe.devFri, 19 Jun 2026 12:00:08 GMTgregory.beurier@cirad.fr (Gregory Beurier)R binding over the 'nirs4all-datasets' C 'ABI' ('n4ds_*'): resolve a dataset id from the distributable catalog index into a version-pinned download contract, fetch the canonical 'Parquet' ('Dataverse' / 'Zenodo' / 'figshare') with SHA-256 verification into a local cache, and re-verify a cached directory offline. JSON crosses the stable C 'ABI'; analysis of the data is left to the host.https://github.com/r-universe/cran/actions/runs/27837799195Fri, 19 Jun 2026 12:00:08 GMTnirs4alldatasets0.2.0successhttps://cran.r-universe.devhttps://github.com/cran/nirs4alldatasetsgregory.beurier@cirad.fr (Gregory Beurier)R binding over the 'nirs4all-datasets' C 'ABI' ('n4ds_*'): resolve a dataset id from the distributable catalog index into a version-pinned download contract, fetch the canonical 'Parquet' ('Dataverse' / 'Zenodo' / 'figshare') with SHA-256 verification into a local cache, and re-verify a cached directory offline. JSON crosses the stable C 'ABI'; analysis of the data is left to the host.https://github.com/r-universe/pamdeveloper/actions/runs/27866056135Fri, 19 Jun 2026 12:00:08 GMTnirs4alldatasets0.2.0successhttps://pamdeveloper.r-universe.devhttps://github.com/cran/nirs4alldatasetsgregory.beurier@cirad.fr (Gregory Beurier)Aggregates the 'nirs4all' formats, IO, datasets, methods, 'dag-ml', and 'dag-ml-data' language bindings into one portable package surface without reimplementing their parsing, numerical, or pipeline logic. The aggregated engines remain the source of truth and are delegated to at run time.https://github.com/r-universe/gbeurier/actions/runs/27637815474Tue, 16 Jun 2026 16:50:46 GMTnirs4all0.2.0successhttps://gbeurier.r-universe.devhttps://github.com/GBeurier/nirs4all-litegregory.beurier@cirad.fr (Gregory Beurier)'R' binding over the 'nirs4all-datasets' C 'ABI' ('n4ds_*'): resolve a dataset id from the distributable catalog index into a version-pinned download contract, fetch the canonical 'Parquet' ('Dataverse' / 'Zenodo' / 'figshare') with SHA-256 verification into a local cache, and re-verify a cached directory offline. JSON crosses the stable C 'ABI'; analysis of the data is left to the host.https://github.com/r-universe/gbeurier/actions/runs/27637812250Tue, 16 Jun 2026 16:50:45 GMTnirs4alldatasets0.2.2successhttps://gbeurier.r-universe.devhttps://github.com/GBeurier/nirs4all-datasetsgregory.beurier@cirad.fr (Gregory Beurier)'R' binding over the 'nirs4all-io' C 'ABI' ('n4io_*'): normalize inputs into a canonical 'DatasetSpec', infer a 'DatasetPlan', and validate a 'DatasetSpec'. The JSON surface crosses the stable C 'ABI'; the low-level 'n4io_*' functions take and return canonical JSON strings, while the idiomatic 'nio_*' layer accepts native 'R' inputs (a path, a vector of files, or a config list) and returns typed S3 objects with print and as.data.frame methods.https://github.com/r-universe/gbeurier/actions/runs/27637805074Tue, 16 Jun 2026 16:50:43 GMTnirs4allio0.1.3successhttps://gbeurier.r-universe.devhttps://github.com/GBeurier/nirs4all-iogregory.beurier@cirad.fr (Gregory Beurier)Thin 'R' binding for the 'nirs4all-formats' near-infrared spectroscopy (NIRS) file-loading core written in 'Rust'. When installed via 'R CMD INSTALL' with 'Cargo' available, the package compiles a native 'extendr' static library from 'src/rust/' and dispatches probe, read, and walk calls directly through 'Rust'. Without 'Cargo' it falls back to invoking the 'nirs4all-formats' command-line interface. This is the complete build: it ships every reader, including the optional large ones ('HDF5'/'netCDF', 'Parquet'/'Arrow', 'MATLAB') on top of the core readers ('JCAMP-DX', 'Galactic SPC', 'Bruker OPUS', 'ASD', 'ENVI', 'CSV', 'Excel', and many vendor ASCII/binary formats). A smaller sibling package 'nirs4allformats.lite' drops only the 'Parquet'/'Arrow' reader for size-sensitive installs.https://github.com/r-universe/gbeurier/actions/runs/27637799467Tue, 16 Jun 2026 16:50:42 GMTnirs4allformats0.2.0successhttps://gbeurier.r-universe.devhttps://github.com/GBeurier/nirs4all-formatsgregory.beurier@cirad.fr (Gregory Beurier)Smaller variant of the 'R' binding for the 'nirs4all-formats' near-infrared spectroscopy (NIRS) file-loading core written in 'Rust'. When installed via 'R CMD INSTALL' with 'Cargo' available, the package compiles a native 'extendr' static library from 'src/rust/' and dispatches probe, read, and walk calls directly through 'Rust'. Without 'Cargo' it falls back to invoking the 'nirs4all-formats' command-line interface. This build ships every reader except the 'Parquet'/'Arrow' reader (the single biggest dependency): it keeps 'HDF5'/'netCDF', 'MATLAB' and all core readers ('JCAMP-DX', 'Galactic SPC', 'Bruker OPUS', 'ASD', 'ENVI', 'CSV', 'Excel', and many vendor ASCII/binary formats). The complete build with 'Parquet' support is the sibling package 'nirs4allformats'; feeding this build a 'Parquet' input returns an actionable error naming it.https://github.com/r-universe/gbeurier/actions/runs/27637806079Tue, 16 Jun 2026 16:50:42 GMTnirs4allformats.lite0.2.0successhttps://gbeurier.r-universe.devhttps://github.com/GBeurier/nirs4all-formatsgregory.beurier@cirad.fr (Gregory Beurier)A portable Partial Least Squares engine for chemometrics: the slim, PLS-focused distribution carved from the 'nirs4all-methods' library. It ships every method built on the shared PLS core (NIPALS, SIMPLS, SVD, kernel, wide-kernel, orthogonal-scores, power, randomized SVD, PCR): regression variants (sparse SIMPLS, CPPLS, weighted, robust, ridge, continuum, multi-block, GLM, MIR), adaptive AOM-PLS / POP-PLS operator selection, variable-selection methods (SPA, CARS, GA, random frog, stability selection, VIP), PLS diagnostics (Hotelling T2, Q residuals, DModX), and calibration transfer (PDS, DS). The spectroscopy-specific surface (spectral preprocessing, augmentation, sample filters, signal-type detection) lives in the full 'nirs4all-methods' distribution. The same 'C++17' numerical core powers both; here it is vendored and compiled from source at install time, with no external system libraries required.https://github.com/r-universe/gbeurier/actions/runs/27637795392Tue, 16 Jun 2026 16:50:41 GMTpls4all1.0.1successhttps://gbeurier.r-universe.devhttps://github.com/GBeurier/nirs4all-methodspls4all.Rmdpls4all.htmlIntroduction to pls4all2026-05-19 06:29:242026-05-28 07:12:22gregory.beurier@cirad.fr (Gregory Beurier)Implements a portable Partial Least Squares (PLS) and Near-Infrared Spectroscopy (NIRS) engine. Provides fit/predict wrappers for the shipped PLS regression solvers (NIPALS, SIMPLS, SVD, kernel, wide-kernel, orthogonal-scores, power, randomized SVD, PCR), variants (sparse SIMPLS, CPPLS, weighted, robust, ridge, continuum, multi-block, GLM, MIR), adaptive AOM-PLS and POP-PLS operator selection, variable-selection methods (SPA, CARS, GA, random frog, stability selection, VIP), diagnostics (Hotelling T2, Q residuals, DModX), and calibration transfer (PDS, DS). The 'C++17' implementation is vendored and compiled from source at install time; no external system libraries are required.https://github.com/r-universe/gbeurier/actions/runs/27637778053Tue, 16 Jun 2026 16:50:41 GMTn4m1.0.1successhttps://gbeurier.r-universe.devhttps://github.com/GBeurier/nirs4all-methodsn4m.Rmdn4m.htmlIntroduction to n4m2026-05-23 14:44:102026-05-28 07:12:22