Adjust Estimates of Learning for Guessing. The package provides standard guessing correction, and a latent class model that leverages informative pre-post transitions. For details of the latent class model, see <http://gsood.com/research/papers/guess.pdf>.
|Author||Gaurav Sood [aut, cre], Ken Cor [aut]|
|Date of publication||2016-02-08 23:44:06|
|Maintainer||Gaurav Sood <firstname.lastname@example.org>|
|License||MIT + file LICENSE|
alldat: Simulated Responses to Knowledge Questions Without Don't Know
dk_sim: Simulated Responses to Knowledge Questions With Don't Know
dk_sim_params: Simulated Responses to Knowledge Questions With Don't Know
eqn1: Constraints: Sum to 1
eqn1dk: Constraints: Sum to 1
fit_dk: Goodness of fit statistics for data with don't know
fit_nodk: Goodness of fit statistics for data without don't know
guess: 'guess' adjusts estimates of learning for guessing related...
guess_stnderr: Bootstrapped standard errors of effect size estimates
guesstimate: Calculate item level and aggregate learning
multi_transmat: Creates a transition matrix for each item.
nona: No NAs
params: Parameters of Simulated Responses to Knowledge Questions...
params_dk: Parameters of Simulated Responses to Knowledge Questions With...
stndcor: Standard Guessing Correction for Learning
transmat: transmat: Cross-wave transition matrix