varian: Variability Analysis in R

Uses a Bayesian model to estimate the variability in a repeated measure outcome and use that as an outcome or a predictor in a second stage model.

Author
Joshua F. Wiley [aut, cre], Elkhart Group Limited [cph]
Date of publication
2016-02-28 12:57:15
Maintainer
Joshua F. Wiley <josh@elkhartgroup.com>
License
MIT + file LICENSE
Version
0.2.2
URLs

View on CRAN

Man pages

empirical_pvalue
Calculates an empirical p-value based on the data
gamma_params
Estimate the parameters for a Gamma distribution
parallel_stan
Wrapper for the stan function to parallelize chains
param_summary
Calculates summaries for a parameter
pval_smartformat
nice formatting for p-values
res_gamma
Estimates the parameters of a Gamma distribution from SDs
simulate_gvm
Simulate a Gamma Variability Model
stan_inits
Calculate Initial Values for Stan VM Model
varian
Variablity Analysis using a Bayesian Variability Model (VM)
VarMeasures
Variability Measures
vm_diagnostics
Plot diagnostics from a VM model
vmp_plot
Plot the posterior distributions of the focal parameters from...
vm_stan
Create a Stan class VM object

Files in this package

varian
varian/tests
varian/tests/testthat.R
varian/tests/testthat
varian/tests/testthat/test-graphing.R
varian/tests/testthat/test-helpers.R
varian/NAMESPACE
varian/R
varian/R/helpers.R
varian/R/diagnostics.R
varian/R/varian.R
varian/R/modeler.R
varian/README.md
varian/MD5
varian/DESCRIPTION
varian/man
varian/man/stan_inits.Rd
varian/man/vm_diagnostics.Rd
varian/man/empirical_pvalue.Rd
varian/man/VarMeasures.Rd
varian/man/simulate_gvm.Rd
varian/man/vmp_plot.Rd
varian/man/vm_stan.Rd
varian/man/param_summary.Rd
varian/man/pval_smartformat.Rd
varian/man/res_gamma.Rd
varian/man/varian.Rd
varian/man/parallel_stan.Rd
varian/man/gamma_params.Rd
varian/LICENSE