Man pages for Karel-Kroeze/ShadowCAT
Multidimensional Computer Adaptive Testing with the Shadow Testing Procedure

as.scalar2Return as a scalar
categorical_to_dummyTransform categorical vector into dummy variables
characteristics_correct_formatCheck class and number of rows of characteristics
constraints_correct_namesCheck names in constraints
constraints_correct_operatorsCheck operator in constraints
constraints_correct_structureCheck structure of constraints
constraints_correct_targetsCheck target in constraints
constraints_lp_formatFormat characteristics and constraints
estimate_latent_traitLatent trait estimation
get_best_itemFind best item
get_eap_estimate_riemannsumEAP estimate with Riemannsum
get_fisher_informationFisher Information
get_item_index_max_informationItem index maximum information
get_item_index_max_information_constrainedShadow Test item selection
get_next_itemIndex next item
get_posterior_expected_kl_informationPosterior expected Kullback-Leibler Information
get_probs_and_likelihoods_per_itemProbabilities and likelihoods
get_subsetGet subset based on indices
get_summarized_informationSummarize Fisher Information
grapes-not_in-grapesNot in
lapply_return_arrayLapply with array output
likelihood_or_post_densityLikelihood or posterior density
matrix_applyMatrix apply
move_values_to_meansMove values towards means
na_only_end_rowsCheck 'NA' pattern in matrix
na_only_end_vectorCheck 'NA' pattern in vector
no_missing_informationCheck both 'NULL' or not 'NULL'
number_non_missing_cells_per_rowCount non-'NA' per row
remove_rows_outside_boundsRemove rows outside bounds
row_cumsumCumulative row sums
row_names_are_equalCheck row names
row_or_vector_sumsRow sum or vector sum
rsapplyRecursive list apply
shadowcatGet new item key and update estimate
ShadowCAT-packagePackage for computerized adaptive testing
simulate_answerSimulate answer
simulate_testbankSimulate alpha and beta
sum_loop_outputsSum loop outputs
terminate_testTerminate test
test_shadowcatSimulate a testing routine with shadowcat
validate_and_runValidate and run
validate_and_run.testGet result function
Karel-Kroeze/ShadowCAT documentation built on May 9, 2017, 3:14 a.m.