Power Analysis and Sample Size Calculation
The package allows for the Estimation of Sample-size and
Power by Exploring Simulated Study Outcomes. It supports
simulation-based power calculation for stand-alone case-control
studies and for case-control analyses nested in cohort studies,
that take account of realistic assessment error.

The package allows for the Estimation of Sample-size and Power by Exploring Simulated Study Outcomes.
WE ARE AWARE A BUG ON THE LAST VERSION OF THE TOOL AND I WORKING TO SORT IT OUT.
A NEW VERSION WILL BE AVAILABLE BY THE END OF DECEMBER 2013.
WE ARE ALSO WORKING ON A WEB-BASED INTERFACE WHICH THAT WILL BE AVAILABLE AT www.espresso-research.org

Efficient Sequential Testing with Evidence Ratios
person("Ladislas", "Nalborczyk", email = "ladislas.nalborczyk@gmail.com",
role = c("aut", "cre"))
An implementation of sequential testing that uses evidence ratios
computed from the Akaike weights of a set of models. These weights are
being computed using either the Akaike Information Criterion (AIC) or the
Bayesian Information Criterion (BIC), and following
Burnham & Anderson (2004) recommendations.
Burnham, K. P., & Anderson, D. R. (2004). Multimodel inference:
Understanding AIC and BIC in model selection.
Sociological Methods and Research, 33(2), 261-304.
<doi:10.1177/0049124104268644>.

person("Ladislas", "Nalborczyk", email = "ladislas.nalborczyk@gmail.com",
role = c("aut", "cre"), comment = c(ORCID = "0000-0002-7419-9855"))
An implementation of sequential testing that uses evidence ratios
computed from the weights of a set of models. These weights correspond either
to Akaike weights computed from the Akaike Information Criterion (AIC) or the
Bayesian Information Criterion (BIC) and following Burnham & Anderson
(2004, <doi:10.1177/0049124104268644>) recommendations, or to pseudo-BMA
weights computed from the WAIC or the LOO-IC of models fitted
with 'brms' and following Yao et al. (2017, <arXiv:1704.02030v3>).
brms, lme4, dplyr, magrittr, tidyr, ggplot2, rlang, foreach,
doParallel, cowplot
Ladislas Nalborczyk [aut, cre] (0000-0002-7419-9855)