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arm (version 1.9-3)

Data Analysis Using Regression and Multilevel/Hierarchical Models

Description

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

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Version

Install

install.packages('arm')

Monthly Downloads

32,278

Version

1.9-3

License

GPL (>= 3)

Maintainer

YuSung Su

Last Published

November 27th, 2016

Functions in arm (1.9-3)

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