person("Lorenz", "Meire", role = "cph"))
Description: Datasets, constants, conversion factors, and utilities for 'MArine', 'Riverine',
'Estuarine', 'LAcustrine' and 'Coastal' science.
The package contains among others: (1) chemical and
physical constants and datasets, e.g. atomic weights, gas
constants, the earths bathymetry; (2) conversion factors
(e.g. gram to mol to liter, barometric units,
temperature, salinity); (3) physical functions, e.g. to
estimate concentrations of conservative substances, gas
transfer and diffusion coefficients, the Coriolis force
and gravity; (4) thermophysical properties of the
seawater, as from the UNESCO polynomial or from the more

Description: Datasets, constants, conversion factors, utilities for MArine, Riverine,
Estuarine, LAcustrine and Coastal science.

Title: Datasets and tutorials for use in aquatic sciences
Depends: R (>= 2.01), marelac, deSolve, rootSolve, scatterplot3d
Description: Datasets and tutorials for use in the MArine, Riverine,
Estuarine, LAcustrine and Coastal sciences

Title: Approximate marginal inference for regression-scale models
Description: Likelihood inference based on higher order approximations

Title: Approximate Marginal Inference for Regression-Scale Models

Title: Marginal Likelihood Computation via Arrogance Sampling
Description: 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

person(given = "Universidad Católica Luis Amigó",
Description: The target of 'margaret' is help to extract data from Minciencias to analyze scientific production in Colombia.
Imports: readr, rlang, dplyr, usethis, devtools, SnowballC, lubridate,
rvest, scholar, purrr, stringi, stringr, tidytext, tidyr,
tidyverse, treemapify, tibble, widyr, writexl, igraph
Author: Sebastian Robledo [aut] (<https://orcid.org/0000-0003-4357-4402>),
Universidad Católica Luis Amigó [cph, fnd],