Karline Soetaert <k.soetaert@nioo.knaw.nl>, Filip Meysman
<filip.meysman@vub.ac.be>

Approximate marginal inference for regression-scale models
Likelihood inference based on higher order approximations
for linear nonnormal regression models

Approximate Marginal Inference for Regression-Scale Models
Likelihood inference based on higher order approximations
for linear nonnormal regression models.

Marginal Likelihood Computation via Arrogance Sampling
In Bayesian statistics, models are evaluated on the basis
of data by comparing their marginal likelihoods conditional on
the data.  This package helps compute models' marginal
likelihoods using samples from the models' posterior parameter
distributes (the inputs are similar to those of the harmonic
mean estimator).  The computation itself is done via "arrogance
sampling", a kind of nonparametric (histogram-based) importance
sampling.

c(person(given = "Sebastian",
family = "Robledo",
role = c("aut"),
email = "sebastian.robledogi@amigo.edu.co",
comment = c(ORCID = "0000-0003-4357-4402")),
person(given = "Bryan",
family = "Arias",
role = c("aut", "cre"),
email = "bryan.ariasqu@amigo.edu.co",
comment = c(ORCID = "0000-0002-2215-6175")),
person(given = "Camilo",
family = "Garcia",
role = c("aut"),
email = "camilo.garciasa@amigo.edu.co",
comment = c(ORCID = "0000-0002-8498-6393")),
person(given = "Universidad Católica Luis Amigó",
role = c("cph", "fnd")),
person(given = "Core of Science",
role = c("cph", "fnd")))
The target of 'margaret' is help to extract data from Minciencias to analyze scientific production in Colombia.
readr, rlang, dplyr, usethis, devtools, SnowballC, lubridate,
rvest, scholar, purrr, stringi, stringr, tidytext, tidyr,
tidyverse, treemapify, tibble, widyr, writexl, igraph
Sebastian Robledo [aut] (<https://orcid.org/0000-0003-4357-4402>),
Bryan Arias [aut, cre] (<https://orcid.org/0000-0002-2215-6175>),
Camilo Garcia [aut] (<https://orcid.org/0000-0002-8498-6393>),
Universidad Católica Luis Amigó [cph, fnd],
Core of Science [cph, fnd]