Changes in 0.3-1
* BUG FIX: delineate() could return wrong knowledge structure when skillfun
had numeric itemIDs (or factor itemIDs in non-alphabetic order)
* New function: jacobian(), Jacobian matrix of a BLIM (draft version)
* delineate(): each element of classes is now a matrix; itemID is now the
index of the column that holds the item indicator
* blim(): new zeropad argument; per default, an incomplete response vector
is completed and padded with zeros
Changes in 0.3-0
* New function: delineate(), knowledge structure delineated by skill
function
* New functions: is.forward.graded(), is.backward.graded()
* blim(): add random initial values for randinit = TRUE
* tests/sampling.R: add tests for uniform sampling
* blim(): recalculate degrees of freedom in goodness-of-fit test
* as.pattern(): add as.set argument; if TRUE return value is of class "set"
* as.binmat(): conversion from class set to matrix
* DESCRIPTION: depend on package sets
Changes in 0.2-1
* BUG FIX: simulate.blim() made incorrect predictions
* New data set: endm
* CITATION: add reference to ENDM paper
Changes in 0.2-0
* BUG FIX: likelihood and fitted values reported by blim() were incorrect
* blim(): add estimators for errequal = TRUE, speed up some computations
* New data sets: density97, matter97
* as.pattern(): add as.letters argument for a letter representation of
response patterns
* CITATION: add reference to Psychoco 2012 talk
Changes in 0.1-0
* initial release on CRAN
* Function blim() for fitting and testing basic local independence models
* Extractor functions for blim objects (some work automatically by
inheritance): simulate(), print(), logLik(), nobs(), resid(), fitted(),
plot(), AIC(), BIC()
* Conversion functions: as.pattern() and as.binmat()
* Data sets: DoignonFalmagne7, chess, probability