GET /api/v1/ports/R-nestedcv/
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

{
    "name": "R-nestedcv",
    "portdir": "R/R-nestedcv",
    "version": "0.7.12",
    "license": "MIT",
    "platforms": "{darwin any}",
    "epoch": 0,
    "replaced_by": null,
    "homepage": "https://github.com/myles-lewis/nestedcv",
    "description": "Nested cross-validation with R-glmnet and R-caret",
    "long_description": "Nested cross-validation with R-glmnet and R-caret",
    "active": true,
    "categories": [
        "science",
        "math",
        "R"
    ],
    "maintainers": [
        {
            "name": "vital.had",
            "github": "barracuda156",
            "ports_count": 2558
        }
    ],
    "variants": [],
    "dependencies": [
        {
            "type": "build",
            "ports": [
                "clang-16",
                "R"
            ]
        },
        {
            "type": "lib",
            "ports": [
                "R-matrixStats",
                "R-ggplot2",
                "R-doParallel",
                "R-foreach",
                "R-pROC",
                "R-caret",
                "R-glmnet",
                "R-RhpcBLASctl",
                "R-matrixTests",
                "R-ROCR",
                "R-CRAN-recommended",
                "R-Rfast",
                "R-rlang",
                "R-data.table"
            ]
        },
        {
            "type": "run",
            "ports": [
                "R"
            ]
        },
        {
            "type": "test",
            "ports": [
                "R-Boruta",
                "R-RcppEigen",
                "R-knitr",
                "R-rmarkdown",
                "R-randomForest",
                "R-pbapply",
                "R-ranger",
                "R-gbm",
                "R-mlbench",
                "R-hsstan",
                "R-ggbeeswarm",
                "R-ggpubr",
                "R-pls",
                "R-SuperLearner",
                "R-mda",
                "R-fastshap",
                "R-CORElearn"
            ]
        }
    ],
    "depends_on": []
}