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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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Install
install.packages('arm')
Monthly Downloads
39,947
Version
1.9-3
License
GPL (>= 3)
Maintainer
YuSung Su
Last Published
November 27th, 2016
Functions in arm (1.9-3)
Search functions
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