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arm (version 1.9-1)

Data Analysis Using Regression and Multilevel/Hierarchical Models

Description

R functions for processing 'lm', 'glm', 'svy.glm', 'merMod' and 'polr' outputs.

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Version

Install

install.packages('arm')

Monthly Downloads

32,496

Version

1.9-1

License

GPL (>= 2)

Maintainer

YuSung Su

Last Published

August 24th, 2016

Functions in arm (1.9-1)

display

Functions for Processing lm, glm, mer, polr and svyglm Output
balance

Functions to compute the balance statistics
contrast.bayes

Contrast Matrices
bayespolr

Bayesian Ordered Logistic or Probit Regression
extractDIC

Extract AIC and DIC from a ‘mer’ model
binnedplot

Binned Residual Plot
bayesglm

Bayesian generalized linear models.
coefplot

Generic Function for Making Coefficient Plot
readColumns

Function to read data by columns
invlogit

Logistic and Inverse logistic functions
GO

Function to Recall Last Source File
rescale

Function for Standardizing by Centering and Dividing by 2 sd's
model.matrixBayes

Construct Design Matrices
matching

Single Nearest Neighborhood Matching
lalonde

Lalonde Dataset
fround

Formating the Rounding of Numbers
multicomp.plot

Multiple Comparison Plot
residual.plot

residual plot for the observed values
sigma.hat

Extract Residual Errors
mcsamp

Generic Function to Run ‘mcmcsamp()’ in lme4
triangleplot

Triangle Plot
se.coef

Extract Standard Errors of Model Coefficients
sim

Functions to Get Posterior Distributions
traceplot

Trace plot of ‘bugs’ object
standardize

Function for Standardizing Regression Predictors by Centering and Dividing by 2 sd's
corrplot

Correlation Plot
discrete.histogram

Histogram for Discrete Distributions