Functions to Facilitate the Simulation of Large Scale Assessment Data

[Up] [Top]

Documentation for package ‘lsasim’ version 2.0.2

Help Pages

beta_gen Generate regression coefficients
block_design Assignment of test items to blocks
booklet_design Assignment of item blocks to test booklets
booklet_sample Assignment of test booklets to test takers
check_condition Check if an error condition is satisfied
check_ignored_parameters Checks if provided parameters are ignored
cor_gen Generation of random correlation matrix
cov_gen Generation of covariance matrices
cov_yfz_gen Generate latent regression covariance matrix
cov_yxw_gen Setup full YXW covariance matrix
cov_yxz_gen Generate analytical covariance matrix
gen_cat_prop Generates cat_prop for questionnaire_gen
gen_variable_n Randomly generate the quantity of background variables
irt_gen Simulate item responses from an item response model
item_gen Generation of item parameters from uniform distributions
lambda_gen Randomly generate a matrix of factor loadings
lsasim lsasim: A package for simulating large scale assessment data
pisa2012_math_block PISA 2012 mathematics item - item block indicator matrix
pisa2012_math_booklet PISA 2012 mathematics item block - test booklet indicator matrix
pisa2012_math_item Item parameter estimates for 2012 PISA mathematics assessment
pisa2012_q_cormat Correlation matrix from the PISA 2012 background questionnaire
pisa2012_q_marginal Marginal proportions from the PISA 2012 background questionnaire
proportion_gen Generation of random cumulative proportions
pt_bis_conversion Analytical point-biserial conversion
questionnaire_gen Generation of ordinal and continuous variables
questionnaire_gen_family Generation of ordinal and continuous variables
questionnaire_gen_polychoric Generation of ordinal and continuous variables
response_gen Generation of item response data using a rotated block design
run_condition_checks Wrapper-function for check_condition
split_cat_prop Split variables in cat_prop