{ "_id": "6a1e9c311d7bb097a0a6ebf1", "Package": "panelr", "Title": "Regression Models and Utilities for Repeated Measures and Panel\nData", "Version": "1.0.1", "Authors@R": "person(\"Jacob A.\", \"Long\", email = \"jacob.long@sc.edu\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0002-1582-6214\"))", "Author": "Jacob A. Long [aut, cre]\n()", "Maintainer": "Jacob A. Long ", "Description": "Provides an object type and associated tools for storing\nand wrangling panel data. Implements several methods for\ncreating regression models that take advantage of the unique\naspects of panel data. Among other capabilities, automates the\n\"within-between\" (also known as \"between-within\" and \"hybrid\")\npanel regression specification that combines the desirable\naspects of both fixed effects and random effects econometric\nmodels and fits them as multilevel models (Allison, 2009\n; Bell & Jones, 2015\n). These models can also be estimated\nvia generalized estimating equations (GEE; McNeish, 2019\n) and Bayesian estimation is\n(optionally) supported via 'Stan'. 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