CPTtools-package |
Tools for creating conditional probability tables |
ACED |
Data from ACED field trial |
ACED.items |
Data from ACED field trial |
ACED.prePost |
Data from ACED field trial |
ACED.scores |
Data from ACED field trial |
ACED.skillNames |
Data from ACED field trial |
areaProbs |
Translates between normal and categorical probabilities |
as.CPA |
Representation of a conditional probability table as an array. |
as.CPF |
Representation of a conditional probability table as a data frame. |
barchart.CPF |
This function produces a plot of a conditional probability frame. |
betaci |
Credibility intervals for a proportion based on beta distribution |
build2FactorTab |
Builds probability tables from Scored Bayes net output. |
buildFactorTab |
Builds probability tables from Scored Bayes net output. |
buildMarginTab |
Builds probability tables from Scored Bayes net output. |
buildParentList |
Builds a list of parents of nodes in a graph |
buildRegressions |
Creates a series of regressions from a covariance matrix |
buildRegressionTables |
Builds conditional probability tables from regressions |
calcDDFrame |
Calculates DiBello-Dirichlet model probability and parameter tables |
calcDDTable |
Calculates DiBello-Dirichlet model probability and parameter tables |
calcDNFrame |
Creates the probability table for DiBello-Normal distribution |
calcDNllike |
Calculates the log-likelihood for data from a DiBello-Samejima (Normal) distribution |
calcDNTable |
Creates the probability table for DiBello-Normal distribution |
calcDPCFrame |
Creates the probability table for the discrete partial credit model |
calcDPCTable |
Creates the probability table for the discrete partial credit model |
calcDSFrame |
Creates the probability table for DiBello-Samejima distribution |
calcDSllike |
Calculates the log-likelihood for data from a DiBello-Samejima (Normal) distribution |
calcDSTable |
Creates the probability table for DiBello-Samejima distribution |
calcNoisyAndFrame |
Calculate the conditional probability table for a Noisy-And or Noisy-Min distribution |
calcNoisyAndTable |
Calculate the conditional probability table for a Noisy-And or Noisy-Min distribution |
calcNoisyOrFrame |
Calculate the conditional probability table for a Noisy-Or distribution |
calcNoisyOrTable |
Calculate the conditional probability table for a Noisy-Or distribution |
ciTest |
Tests for conditional independence between two variables given a third |
colorspread |
Produces an ordered palate of colours with the same hue. |
compareBars |
Produces comparison stacked bar charts for two sets of groups |
compareBars2 |
Produces comparison stacked bar charts for two sets of groups |
Compensatory |
DiBello-Samejima combination function |
Conjunctive |
DiBello-Samejima combination function |
CPA |
Representation of a conditional probability table as an array. |
CPF |
Representation of a conditional probability table as a data frame. |
CPTtools |
Tools for creating conditional probability tables |
dataTable |
Constructs a table of counts from a set of discrete observations. |
Disjunctive |
DiBello-Samejima combination function |
effectiveThetas |
Assigns effective theta levels for categorical variable |
eThetaFrame |
Constructs a data frame showing the effective thetas for each parent combination. |
factorPart |
Splits a mixed data frame into a numeric matrix and a factor part. |
fcKappa |
Functions for measuring rater agreement. |
getOffsetRules |
Distinguishes Offset from ordinary rules. |
getTableParents |
Gets meta data about a conditional probability table. |
getTableStates |
Gets meta data about a conditional probability table. |
gkLambda |
Functions for measuring rater agreement. |
gradedResponse |
A link function based on Samejima's graded response |
is.CPA |
Representation of a conditional probability table as an array. |
is.CPF |
Representation of a conditional probability table as a data frame. |
isDecreasing |
Tests to see if a sequence is ascending or descending |
isIncreasing |
Tests to see if a sequence is ascending or descending |
isMonotonic |
Tests to see if a sequence is ascending or descending |
isNondecreasing |
Tests to see if a sequence is ascending or descending |
isNonincreasing |
Tests to see if a sequence is ascending or descending |
isOffsetRule |
Distinguishes Offset from ordinary rules. |
localDepTest |
Tests for conditional independence between two variables given a third |
mapDPC |
Finds an MAP estimate for a discrete partial credit CPT |
marginTab |
Builds probability tables from Scored Bayes net output. |
MathGrades |
Grades on 5 mathematics tests from Mardia, Kent and Bibby |
mcSearch |
Orders variables using Maximum Cardinality search |
mutualInformation |
Calculates Mutual Information for a two-way table. |
normalize |
Normalizes a conditional probability table. |
normalize.array |
Normalizes a conditional probability table. |
normalize.CPA |
Normalizes a conditional probability table. |
normalize.CPF |
Normalizes a conditional probability table. |
normalize.data.frame |
Normalizes a conditional probability table. |
normalize.default |
Normalizes a conditional probability table. |
normalize.matrix |
Normalizes a conditional probability table. |
normalizeTable |
Rescales the numeric part of the table |
normalLink |
Link function using a normal regression. |
numericPart |
Splits a mixed data frame into a numeric matrix and a factor part. |
OCP |
Observable Characteristic Plot |
OCP2 |
Observable Characteristic Plot |
OffsetConjunctive |
Conjunctive combination function with one difficulty per parent. |
OffsetDisjunctive |
Conjunctive combination function with one difficulty per parent. |
parseProbVec |
Parses Probability Vector Strings |
parseProbVecRow |
Parses Probability Vector Strings |
partialCredit |
A link function based on the generalized partial credit model |
proflevelci |
Produce cumulative sum credibility intervals |
pvecToCutpoints |
Translates between normal and categorical probabilities |
pvecToMidpoints |
Translates between normal and categorical probabilities |
readHistory |
Reads a file of histories of marginal distributions. |
rescaleTable |
Rescales the numeric part of the table |
scaleMatrix |
Scales a matrix to have a unit diagonal |
scaleTable |
Scales a table according to the Sum and Scale column. |
setOffsetRules |
Distinguishes Offset from ordinary rules. |
stackedBarplot |
Produces a hanging barplot |
stackedBars |
Produces a stacked, staggered barplot |
structMatrix |
Finds graphical structure from a covariance matrix |
woeBal |
Weight of Evidence Balance Sheet |
woeHist |
Creates weights of evidence from a history matrix. |