arm v1.9-3


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Data Analysis Using Regression and Multilevel/Hierarchical Models

Functions to accompany A. Gelman and J. Hill, Data Analysis Using Regression and Multilevel/Hierarchical Models, Cambridge University Press, 2007.

Functions in arm

Name Description
discrete.histogram Histogram for Discrete Distributions
corrplot Correlation Plot
bayespolr Bayesian Ordered Logistic or Probit Regression
binnedplot Binned Residual Plot
display Functions for Processing lm, glm, mer, polr and svyglm Output
balance Functions to compute the balance statistics
extractDIC Extract AIC and DIC from a ‘mer’ model
contrast.bayes Contrast Matrices
coefplot Generic Function for Making Coefficient Plot
bayesglm Bayesian generalized linear models.
invlogit Logistic and Inverse logistic functions
model.matrixBayes Construct Design Matrices
multicomp.plot Multiple Comparison Plot
rescale Function for Standardizing by Centering and Dividing by 2 sd's
readColumns Function to read data by columns
matching Single Nearest Neighborhood Matching
fround Formating the Rounding of Numbers
mcsamp Generic Function to Run ‘mcmcsamp()’ in lme4
lalonde Lalonde Dataset
GO Function to Recall Last Source File
sim Functions to Get Posterior Distributions
sigma.hat Extract Residual Errors
residual.plot residual plot for the observed values
se.coef Extract Standard Errors of Model Coefficients
standardize Function for Standardizing Regression Predictors by Centering and Dividing by 2 sd's
triangleplot Triangle Plot
traceplot Trace plot of ‘bugs’ object
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Last month downloads


Date 2016-11-21
License GPL (>= 3)
NeedsCompilation no
Repository CRAN
Repository/R-Forge/Project arm
Repository/R-Forge/Revision 274
Repository/R-Forge/DateTimeStamp 2016-11-24 11:30:54
Date/Publication 2016-11-27 15:01:33
Packaged 2016-11-24 11:46:10 UTC; rforge

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