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| 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. |
| getOffsetRules | Distinguishes Offset from ordinary rules. |
| getTableParents | Gets meta data about a conditional probability table. |
| getTableStates | Gets meta data about a conditional probability table. |
| 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. |
| 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. |
| 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. |