Algebraic Statistics in R

abortion | Haberman's Abortion, Education, and Religion Data |

algstat | algstat : Algebraic statistics in R |

Amaker | Distance transitive matrix |

apoisson | Fit a hierarchical Poisson regression models with algebraic... |

array2tab | Array to table conversion |

birthdeath | Andrews/Herzberg Birthday and Deathday Dataset |

bump | Convert Dimensions of Approval Data |

cellBound | Compute the lower or upper bound |

cellBounds | Compute the lower and upper bounds |

city | Living Location Preference Dataset |

condorcet | Find a Condorcet Choice. |

cookie | Girl Scout Cookie Preferences |

countFiber | Count the elements of a fiber Ax = b |

countTables | Count Similarly Margined Contingency Tables |

drugs | Use of Alcohol, Cigarettes, and Marijuana by High School... |

Emaker | Create the expected higher-order statistics calculating... |

haberman | Haberman's Positive Margin no Three-way Interaction MLE |

handy | Handedness Data |

hmat | Construct a Hierarchical Model Matrix |

is.linear | Test whether an mpoly object is linear. |

lawrence | Compute the Lawrence lifting of a configuration matrix |

loglinear | Fit a hierarchical log-linear model with algebraic methods |

lower | Create a lower triangular matrix |

lpnorm | Lp Norm |

mchoose | Multinomial Coefficient |

metropolis | The Metropolis Algorithm |

Mmaker | Marginals matrix |

plotMatrix | Plot a matrix |

Pmaker | Pairs matrix |

politicalGoals | Relative Rankings of Importance of Four Political Goals |

politics | Politics by Personality |

print.loglinear | Pretty printing of loglinear's output |

print.spectral | Pretty Printing of Spectral's Output |

projectOnto | Vector Projection onto col(A) |

projectOntoPerp | Vector Projection onto the orthogonal complement of col(A) |

reexports | Objects exported from other packages |

rfiber | Sample from the fiber of a contingency table |

rmove | Generate random moves on a fiber |

rvotes | Random Spectral Data |

Smaker | Means matrix (rank data) |

spectral | Analyze a Rank Dataset |

subsets | Compute Subsets |

tab2array | Table to array conversion |

tabFill | Fill a table with a number |

teshape | Interconvert data structures |

Tmaker | Create the sufficient statistics calculating matrix for... |

Umaker | U matrix (rank data) |

upper | Create an upper triangular matrix |

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