Packaged: 2013-12-04 12:00:24 UTC; Christian

Packaged: 2014-01-13 13:15:02 UTC; Christian

Packaged: 2014-03-31 09:04:36 UTC; Christian

Packaged: 2014-05-07 11:09:45 UTC; Christian

Packaged: 2014-09-18 15:38:01 UTC; Christian

Title: Functions for Wind Resource Assessment
Packaged: 2017-07-31 20:02:02 UTC; Christian

Packaged: 2018-01-05 11:18:40 UTC; Christian

Imports: graphics, grDevices, lubridate, stats, utils
Packaged: 2018-11-14 20:12:08 UTC; Christian

Author: Peter Solymos [aut, cre] (<https://orcid.org/0000-0001-7337-1740>)
Description: A highly scientific and utterly addictive
to test statistical assumptions, aid survey design,
The simulations follow time-removal and distance sampling models
Suggests: knitr, rmarkdown, detect, shiny

Depends: intrval, mefa4, MASS, deldir (>= 1.0-2)
Packaged: 2021-10-06 18:15:35 UTC; PeterSolymos

Author: Alencar Xavier, William Muir, Katy Rainey.
Description: Designed for whole-genome regressions using Bayesian models fitted via Gibbs sampling with optional resampling techniques (Bagging and Bootstrapping) and polygenic term with reduced of dimensionality.

Description: Designed for whole-genome regressions using Bayesian models fitted via Gibbs sampling with optional resampling techniques (Bagging and Bootstrapping) and polygenic term with reduced dimensionality.

Description: Designed for whole-genome regressions using Bayesian models fitted via Gibbs sampling with optional resampling techniques and polygenic term with reduced dimensionality.

Description: Designed for whole-genome regressions using Bayesian models fitted via EM or Gibbs sampling with optional resampling techniques (Bagging) and polygenic term with reduced dimensionality.

Author: Alencar Xavier, William Muir, Shizhong Xu, Katy Rainey.
Description: Whole-genome regression methods on Bayesian framework fitted via EM
or Gibbs sampling, with optional sampling techniques and kernel term.

or Gibbs sampling, with optional kernel term and sampling techniques as described

Author: Alencar Xavier, William Muir, Kyle Kocak, Shizhong Xu, Katy Rainey.