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  "Description": "Extremely efficient procedures for fitting the entire\ngroup lasso and group elastic net regularization path for GLMs,\nmultinomial, the Cox model and multi-task Gaussian models.\nSimilar to the R package 'glmnet' in scope of models, and in\ncomputational speed.  This package provides R bindings to the\nC++ code underlying the corresponding Python package 'adelie'.\nThese bindings offer a general purpose group elastic net\nsolver, a wide range of matrix classes that can exploit special\nstructure to allow large-scale inputs, and an assortment of\ngeneralized linear model classes for fitting various types of\ndata. The package is an implementation of Yang, J. and Hastie,\nT. (2024) <doi:10.48550/arXiv.2405.08631>.",
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    "matrix.standardize",
    "matrix.subset",
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      "page": "constraint.box",
      "title": "Create a box constraint for a group.",
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      "title": "Cross-validation for glintnet",
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    },
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      "page": "gaussian_cov",
      "title": "Solves group elastic net via covariance method.",
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      ]
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      "title": "fit a GLM interaction model with group lasso or group elastic-net regularization",
      "topics": [
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    {
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    },
    {
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      ]
    },
    {
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    },
    {
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      "title": "Creates a MultiGaussian GLM family object.",
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      ]
    },
    {
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      "title": "Creates a Multinomial GLM family object.",
      "topics": [
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      ]
    },
    {
      "page": "glm.poisson",
      "title": "Creates a Poisson GLM family object.",
      "topics": [
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      ]
    },
    {
      "page": "grpnet",
      "title": "fit a GLM with group lasso or group elastic-net regularization",
      "topics": [
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      ]
    },
    {
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      "title": "IO handler for SNP phased, ancestry matrix.",
      "topics": [
        "io.snp_phased_ancestry"
      ]
    },
    {
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      "title": "IO handler for SNP unphased matrix.",
      "topics": [
        "io.snp_unphased"
      ]
    },
    {
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      "title": "Creates a block-diagonal matrix.",
      "topics": [
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      ]
    },
    {
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      "title": "Creates a concatenation of the matrices.",
      "topics": [
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      ]
    },
    {
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      "topics": [
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    },
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    },
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      "topics": [
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      ]
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    {
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      "title": "Creates a matrix with pairwise interactions.",
      "topics": [
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      ]
    },
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    },
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      "topics": [
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      "topics": [
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      "topics": [
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        "plot.cv.grpnet"
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      "title": "make predictions from a \"cv.grpnet\" object.",
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        "predict.cv.grpnet"
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