{
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  "Title": "Regression Models with Break-Points / Change-Points Estimation\n(with Possibly Random Effects)",
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  "Authors@R": "c(person(given = c(\"Vito\",\"M.\",\"R.\"), family = \"Muggeo\", role =\nc(\"aut\", \"cre\"), email = \"vito.muggeo@unipa.it\", comment=c(ORCID=\"0000-0002-3386-4054\")))",
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  "Description": "Fitting regression models where, in addition to possible\nlinear terms, one or more covariates have segmented (i.e.,\nbroken-line or piece-wise linear) or stepmented (i.e.\npiece-wise constant) effects. Multiple breakpoints for the same\nvariable are allowed. The estimation method is discussed in\nMuggeo (2003, <doi:10.1002/sim.1545>) and illustrated in Muggeo\n(2008, <https://www.r-project.org/doc/Rnews/Rnews_2008-1.pdf>).\nAn approach for hypothesis testing is presented in Muggeo\n(2016, <doi:10.1080/00949655.2016.1149855>), and interval\nestimation for the breakpoint is discussed in Muggeo (2017,\n<doi:10.1111/anzs.12200>). Segmented mixed models, i.e. random\neffects in the change point, are discussed in Muggeo (2014,\n<doi:10.1177/1471082X13504721>). Estimation of\npiecewise-constant relationships and changepoints (mean-shift\nmodels) is discussed in Fasola et al. (2018,\n<doi:10.1007/s00180-017-0740-4>).",
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    "summary.stepmented",
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    "vcov.stepmented"
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      "page": "segmented-package",
      "title": "Segmented Relationships in Regression Models with Breakpoints / Changepoints Estimation (with Possibly Random Effects)",
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      "topics": [
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      "title": "Specifying a segmented/stepmented term in the segreg/stepreg formula",
      "topics": [
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      "title": "Segmented relationships in regression models",
      "topics": [
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        "segmented.Arima",
        "segmented.default",
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        "segmented.lm",
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