[{"_1":2,"_94":-5,"_95":-5},"loaderData",{"_3":4,"_13":14},"root",{"_5":6,"_7":8,"_9":10,"_11":12},"isProduction",true,"domain","cran-e.com","version","2.10.1","nonce","OGM5MWYzNGUtODJkOS00MDlmLTk4NzctYThmYTM0OTE1NDlk","routes/_page.author.$authorName",{"_15":16,"_17":18,"_40":41,"_28":93},"authorName","Thibaut Goetghebuer-Planchon","packages",[19,33],{"_20":21,"_30":31},"package",{"_22":23,"_24":25,"_26":27,"_28":29},"id",3374,"name","MatrixExtra","title","Extra Methods for Sparse Matrices","description","Extends sparse matrix and vector classes from the 'Matrix' package by providing: (a) Methods and operators that work natively on CSR formats (compressed sparse row, a.k.a. 'RsparseMatrix') such as slicing/sub-setting, assignment, rbind(), mathematical operators for CSR and COO such as addition (\"+\") or sqrt(), and methods such as diag(); (b) Multi-threaded matrix multiplication and cross-product for many types, including the 'float32' type from 'float'; (c) Coercion methods between pairs of classes which are not present in 'Matrix', such as 'dgCMatrix' -> 'ngRMatrix', as well as convenience conversion functions; (d) Utility functions for sparse matrices such as sorting the indices or removing zero-valued entries; (e) Fast transposes that work by outputting in the opposite storage format; (f) Faster replacements for many 'Matrix' methods for all sparse types, such as slicing and elementwise multiplication. (g) Convenience functions for sparse objects, such as 'mapSparse' or a shorter 'show' method.","roles",[32],"cph",{"_20":34,"_30":39},{"_22":35,"_24":36,"_26":37,"_28":38},12910,"isotree","Isolation-Based Outlier Detection","Fast and multi-threaded implementation of isolation forest (Liu, Ting, Zhou (2008) <[doi:10.1109/ICDM.2008.17](https://doi.org/10.1109%2FICDM.2008.17)>), extended isolation forest (Hariri, Kind, Brunner (2018) <[doi:10.48550/arXiv.1811.02141](https://doi.org/10.48550/arXiv.1811.02141)>), SCiForest (Liu, Ting, Zhou (2010) <[doi:10.1007/978-3-642-15883-4_18](https://doi.org/10.1007%2F978-3-642-15883-4_18)>), fair-cut forest (Cortes (2021) ), robust random-cut forest (Guha, Mishra, Roy, Schrijvers (2016) <[http://proceedings.mlr.press/v48/guha16.html](http://proceedings.mlr.press/v48/guha16.html)>), and customizable variations of them, for isolation-based outlier detection, clustered outlier detection, distance or similarity approximation (Cortes (2019) <[doi:10.48550/arXiv.1910.12362](https://doi.org/10.48550/arXiv.1910.12362)>), isolation kernel calculation (Ting, Zhu, Zhou (2018) <[doi:10.1145/3219819.3219990](https://doi.org/10.1145%2F3219819.3219990)>), and imputation of missing values (Cortes (2019) <[doi:10.48550/arXiv.1911.06646](https://doi.org/10.48550/arXiv.1911.06646)>), based on random or guided decision tree splitting, and providing different metrics for scoring anomalies based on isolation depth or density (Cortes (2021) <[doi:10.48550/arXiv.2111.11639](https://doi.org/10.48550/arXiv.2111.11639)>). Provides simple heuristics for fitting the model to categorical columns and handling missing data, and offers options for varying between random and guided splits, and for using different splitting criteria.",[32],"otherAuthors",[42,57,61,65,69,72,76,80,83,86,90],{"_22":43,"_24":44,"_45":-5,"_46":-5,"_47":-5,"_48":-5,"_49":-5,"_50":51,"_52":-5,"_53":-5,"_54":-5,"_55":-5,"_56":51},486,"Martin Maechler","email","extra","orc_id","orc_link","github_id","created_at","2024-11-24T20:49:18.832187+00:00","github_link","unknown_link","website_link","linkedin_link","_last_scraped_at",{"_22":58,"_24":59,"_45":-5,"_46":-5,"_47":-5,"_48":-5,"_49":-5,"_50":60,"_52":-5,"_53":-5,"_54":-5,"_55":-5,"_56":60},2620,"David Cortes","2024-11-24T20:49:21.105835+00:00",{"_22":62,"_24":63,"_45":-5,"_46":-5,"_47":-5,"_48":-5,"_49":-5,"_50":64,"_52":-5,"_53":-5,"_54":-5,"_55":-5,"_56":64},3656,"Dmitry Selivanov","2024-11-24T20:49:22.430757+00:00",{"_22":66,"_24":67,"_45":-5,"_46":-5,"_47":-5,"_48":-5,"_49":-5,"_50":68,"_52":-5,"_53":-5,"_54":-5,"_55":-5,"_56":68},12318,"Robert Gentleman","2024-11-24T20:49:28.440999+00:00",{"_22":70,"_24":71,"_45":-5,"_46":-5,"_47":-5,"_48":-5,"_49":-5,"_50":68,"_52":-5,"_53":-5,"_54":-5,"_55":-5,"_56":68},12319,"Ross Ihaka",{"_22":73,"_24":74,"_45":-5,"_46":-5,"_47":-5,"_48":-5,"_49":-5,"_50":75,"_52":-5,"_53":-5,"_54":-5,"_55":-5,"_56":75},15764,"Stephen Moshier","2024-11-24T20:49:30.777716+00:00",{"_22":77,"_24":78,"_45":-5,"_46":-5,"_47":-5,"_48":-5,"_49":-5,"_50":79,"_52":-5,"_53":-5,"_54":-5,"_55":-5,"_56":79},21552,"David Blackman","2024-11-24T20:49:35.03944+00:00",{"_22":81,"_24":82,"_45":-5,"_46":-5,"_47":-5,"_48":-5,"_49":-5,"_50":79,"_52":-5,"_53":-5,"_54":-5,"_55":-5,"_56":79},21553,"Sebastiano Vigna",{"_22":84,"_24":85,"_45":-5,"_46":-5,"_47":-5,"_48":-5,"_49":-5,"_50":79,"_52":-5,"_53":-5,"_54":-5,"_55":-5,"_56":79},21554,"NumPy Developers",{"_22":87,"_24":88,"_45":-5,"_46":-5,"_47":-5,"_48":-5,"_49":-5,"_50":89,"_52":-5,"_53":-5,"_54":-5,"_55":-5,"_56":89},25692,"SciPy Developers","2024-11-24T20:49:37.942926+00:00",{"_22":91,"_24":92,"_45":-5,"_46":-5,"_47":-5,"_48":-5,"_49":-5,"_50":89,"_52":-5,"_53":-5,"_54":-5,"_55":-5,"_56":89},25693,"Enthought Inc","Thibaut Goetghebuer-Planchon has worked on 2 packages so far. Two's company, but it looks like Thibaut Goetghebuer-Planchon is just getting warmed up! Thibaut Goetghebuer-Planchon collaborated with 11 other developers. That's like an entire class of coding geniuses coming together!","actionData","errors"]

Thibaut Goetghebuer-Planchon

2 Packages

Team