Compute the repeated measures correlation, a statistical technique
    for determining the overall within-individual relationship among paired measures
    assessed on two or more occasions, first introduced by Bland and Altman (1995).
    Includes functions for diagnostics, p-value, effect size with confidence
    interval including optional bootstrapping, as well as graphing. Also includes
    several example datasets. For more details, see the web documentation 
    <https://lmarusich.github.io/rmcorr/index.html> and the 
    original paper: Bakdash and Marusich (2017) <doi:10.3389/fpsyg.2017.00456>.

Estimates and simulates Kuhn-Tucker demand models with individual heterogeneity. The package implements the multiple-discrete continuous extreme value (MDCEV) model and the Kuhn-Tucker specification common in the environmental economics literature on recreation demand. Latent class and random parameters specifications can be implemented and the models are fit using maximum likelihood estimation or Bayesian estimation. All models are implemented in 'Stan' (see Stan Development Team, 2019) <https://mc-stan.org/>. The package also implements demand forecasting (Pinjari and Bhat (2011) <https://repositories.lib.utexas.edu/handle/2152/23880>) and welfare calculation (Lloyd-Smith (2018) <doi:10.1016/j.jocm.2017.12.002>) for policy simulation. 'Stan' models can be estimated using either the 'cmdstanr' (default) or 'rstan' backend. If using 'cmdstanr', then user will need to install 'cmdstanr' manually <https://mc-stan.org/cmdstanr/>.

Supports concordances in 'R Markdown' 
  documents.  This currently allows the original source
  location in the '.Rmd' file of errors detected by 'HTML tidy'
  to be found more easily, and potentially allows forward
  and reverse search in 'HTML' and 'LaTeX' documents
  produced from 'R Markdown'.  The 'LaTeX' support
  has been included in the most recent development 
  version of the 'patchDVI' package.

Download, inspect, reconcile, and summarize mammal taxonomic
    names with the Mammal Diversity Database (MDD). Supports accepted
    names, synonyms, original combinations, distribution summaries, and
    mapped outputs derived from packaged MDD releases. Designed for
    reproducible mammal name resolution workflows in 'R'.