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algstat (version 0.0.2)

Algebraic statistics in R

Description

algstat provides functionality for algebraic statistics in R. Current applications include exact inference in log-linear models for contingency table data, analysis of ranked and partially ranked data, and general purpose tools for multivariate polynomials, building on the mpoly package. To aid in the process, algstat has ports to Macaulay2, Bertini, LattE-integrale and 4ti2.

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Version

Install

install.packages('algstat')

Monthly Downloads

13

Version

0.0.2

License

GPL-2

Maintainer

David Kahle

Last Published

December 6th, 2014

Functions in algstat (0.0.2)

politics

Politics by Personality
ones

Ones Vector
city

Living Location Preference Dataset
Amaker

Distance transitive matrix
count

Count Integer Points in a Polytope
markov

Compute a Markov Basis with 4ti2
handy

Handedness Data
abortion

Haberman's Abortion, Education, and Religion Data
print.hierarchical

Pretty Printing of Hierarchical's Output
algstat

algstat : Algebraic statistics in R
Mmaker

Marginals matrix
Smaker

Means matrix (rank data)
print.bertini

Pretty Printing of Bertini Output
drugs

Use of Alcohol, Cigarettes, and Marijuana by High School Students
condorcet

Find a Condorcet Choice.
cookie

Girl Scout Cookie Preferences
Tmaker

Create the sufficient statistics calculating matrix for approval data
m2

Evaluate Macaulay2 Code
Pmaker

Pairs matrix
is.linear

Test whether an mpoly object is linear.
polyOptim

Polynomial Optimization
haberman

Haberman's Positive Margin no Three-way Interaction MLE
countTables

Count Similarly Margined Contingency Tables
hmat

Construct a Hierarchical Model Matrix
latteMin

Solve a Linear Program (Minimization)
tab2vec

Array to Vector conversion
mchoose

Multinomial Coefficient
projectOnto

Vector Projection onto col(A)
setMarkovPath

Set 4ti2 Path
hierarchical

Fitting Hierarchical Log-linear Models with Algebraic Methods
tableau

Tableau Notation for Markov
setBertiniPath

Set Bertini Path
print.m2

Pretty printing of Macaulay2 output.
setLattePath

Set LattE Path
setM2Path

Set Macaulay2 Path
summary.bertini

Summarize Bertini Output
rvotes

Random Spectral Data
subsets

Compute Subsets
teshape

Interconvert data structures
variety

Compute a Variety
print.tableau

Pretty printing of tableau output.
Emaker

Create the expected higher-order statistics calculating matrix for approval data
print.spectral

Pretty Printing of Spectral's Output
vec2tab

Vector to Array conversion
is.bertini

Bertini Object Check
latteMax

Solve a Linear Program (Maximization)
metropolis

Markov Basis Metropolis-Hastings Algorithm
print.polyOptim

Pretty printing of polyOptim (Bertini) output.
upper

Create an upper triangular matrix
bertini

Evaluate Bertini Code
politicalGoals

Relative Rankings of Importance of Four Political Goals
lpnorm

Lp Norm
Umaker

U matrix (rank data)
kprod

Iterated Kronecker product
projectOntoPerp

Vector Projection onto the orthogonal complement of col(A)
lower

Create a lower triangular matrix
is.m2

Macaulay2 Object Check
polySolve

Solve a System of Polynomial Equations
bump

Convert Dimensions of Approval Data
spectral

Analyze a Rank Dataset