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  "Title": "Generalized Additive Models with Flexible Response Functions",
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  "Date": "2020-06-06",
  "Authors@R": "person(\"Elmar\", \"Spiegel\", role = c(\"aut\", \"cre\"), email = \"espiege@uni-goettingen.de\")",
  "Author": "Elmar Spiegel [aut, cre]",
  "Maintainer": "Elmar Spiegel <espiege@uni-goettingen.de>",
  "Description": "Standard generalized additive models assume a response\nfunction, which induces an assumption on the shape of the\ndistribution of the response. However, miss-specifying the\nresponse function results in biased estimates. Therefore in\nSpiegel et al. (2017) <doi:10.1007/s11222-017-9799-6> we\npropose to estimate the response function jointly with the\ncovariate effects. This package provides the underlying\nfunctions to estimate these generalized additive models with\nflexible response functions. The estimation is based on an\niterative algorithm. In the outer loop the response function is\nestimated, while in the inner loop the covariate effects are\ndetermined. For the response function a strictly monotone\nP-spline is used while the covariate effects are estimated\nbased on a modified Fisher-Scoring algorithm. Overall the\nestimation relies on the 'mgcv'-package.",
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  "Date/Publication": "2020-06-07 08:10:03 UTC",
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    "deviance.flexgam",
    "fitted.flexgam",
    "fitted.values.flexgam",
    "flexgam",
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    "plot.flexgam",
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    "resid.flexgam",
    "residuals.flexgam",
    "response",
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      "title": "Estimation of generalized additive model with flexible response function",
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        "flexgam"
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        "summary.flexgam"
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        "coefficients.flexgam",
        "fitted.flexgam",
        "fitted.values.flexgam",
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