Description: Provides an 'htmlwidgets' interface to the
'MetricsGraphics.js' ('D3'-based) charting library which is geared towards
displaying time-series data. Chart types include line charts, scatterplots,
histograms and rudimentary bar charts. Support for laying out multiple charts
into a grid layout is also provided. All charts are interactive and many
have an option for line, label and region annotations.
Suggests: testthat, RColorBrewer, ggplot2, ggplot2movies, jsonlite (>=

c(person("Juan Manuel", "Cabrera", email= "juanmanuelcabrera1@gmail.com",
based on aquatic macroinvertebrate density data (individuals per
square meter) to assess water quality (Prat N et al. (2009) <http://www.ub.edu/riosandes/docs/MacroIndLatinAmcompag0908.pdf>).

person("Juan Manuel", "Cabrera", , "juanmanuelcabrera1@gmail.com", role = c("aut", "cre")),
person("Julieta", "Capeletti", , "julieta.capeletti@hotmail.com", role = "aut")
Description: Calculate different metrics based on aquatic
macroinvertebrate density data (individuals per square meter) to
assess water quality (Prat N et al. 2009).

Title: Washington Metropolitan Area Transit Authority API
Description: The Washington Metropolitan Area Transit Authority
is a government agency operating light rail and passenger buses in the
Washington D.C. area. With a free developer account, access their
'Metro Transparent Data Sets API' <https://developer.wmata.com/> to
return data frames of transit data for easy analysis.
Suggests: covr (>= 3.5.1), spelling (>= 2.2), testthat (>= 3.0.0)

Description: Learning and using the Metropolis algorithm for
Bayesian fitting of a generalized linear model. The package vignette
includes examples of hand-coding a logistic model using several
variants of the Metropolis algorithm. The package also contains R
functions for simulating posterior distributions of Bayesian
generalized linear model parameters using guided, adaptive,
guided-adaptive and random walk Metropolis algorithms. The random walk
Metropolis algorithm was originally described in Metropolis et al