MultiRR: Bias, Precision, and Power for Multi-Level Random Regressions
Version 1.1

Calculates bias, precision, and power for multi-level random regressions. Random regressions are types of hierarchical models in which data are structured in groups and (regression) coefficients can vary by groups. Tools to estimate model performance are designed mostly for scenarios where (regression) coefficients vary at just one level. 'MultiRR' provides simulation and analytical tools (based on 'lme4') to study model performance for random regressions that vary at more than one level (multi-level random regressions), allowing researchers to determine optimal sampling designs.

AuthorYimen G. Araya-Ajoy
Date of publication2015-10-21 11:36:43
MaintainerYimen G. Araya-Ajoy <yimencr@gmail.com>
LicenseGPL-2
Version1.1
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("MultiRR")

Getting started

Package overview

Popular man pages

Anal.MultiRR: Fits a multilevel random regression to n simulated data...
Bias: Estimates bias for n number of multi-level random regression...
Imprecision: Calculates imprecision for n multi-level random regressions...
lmerAll: lmerAll is not a user level function
mean2: mean2 is not a user level function
sd2: sd2 is not a user level function
Summary: Summary of the results of the multi-level random regressions...
See all...

All man pages Function index File listing

Man pages

Anal.MultiRR: Fits a multilevel random regression to n simulated data...
Bias: Estimates bias for n number of multi-level random regression...
Imprecision: Calculates imprecision for n multi-level random regressions...
lmerAll: lmerAll is not a user level function
lower2: lower2 is not a user level function
mean2: mean2 is not a user level function
median2: median2 is not a user level function
MultiRR-package: Simulation Package for Multi-level random regressions
Plot.Sim: Density plots for each variance component.
Power: Estimates power to detect significant among-individual...
sd2: sd2 is not a user level function
Sim.MultiRR: Simulate data setes to be analyzed by a multi-level random...
Summary: Summary of the results of the multi-level random regressions...
upper2: Upper2 is not a user level function

Functions

Anal.MultiRR Man page Source code
Bias Man page Source code
Imprecision Man page Source code
MultiRR Man page
MultiRR-package Man page
Plot.Sim Man page Source code
Power Man page Source code
Sim.MultiRR Man page Source code
Summary Man page Source code
lmerAll Man page Source code
lower2 Man page Source code Source code
mean2 Man page Source code
median2 Man page Source code Source code
sd2 Man page Source code Source code
upper2 Man page Source code Source code

Files

NAMESPACE
R
R/Power.R
R/upper2.R
R/Anal.MultiRR.R
R/lower2.R
R/sd2.R
R/Bias.R
R/Summary.r
R/Imprecision.R
R/lmerAll.R
R/Sim.MultiRR.R
R/Plot.Sim.R
R/mean2.R
R/median2.R
MD5
DESCRIPTION
man
man/Power.Rd
man/Summary.Rd
man/sd2.Rd
man/Plot.Sim.Rd
man/lower2.Rd
man/Anal.MultiRR.Rd
man/lmerAll.Rd
man/Sim.MultiRR.Rd
man/Bias.Rd
man/mean2.Rd
man/Imprecision.Rd
man/median2.Rd
man/MultiRR-package.Rd
man/upper2.Rd
MultiRR documentation built on May 19, 2017, 8:30 a.m.