Adjust Estimates of Learning for Guessing


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Documentation for package ‘guess’ version 0.8.0

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assess_item_lca_fit Assess goodness of fit for an item-level latent-class model
calculate_expected_values Calculate expected values for goodness of fit test
coef.guess_fit Extract coefficients from guess_fit
count_item_transitions Count transitions for matched test items
count_transitions Count cross-wave response transitions
cross_sectional_learning Cross-sectional learning estimate
cross_sectional_learning_score Cross-Sectional Learning Score
cv_individual_lca Cross-validate an item LCA fit over individuals
estimate_logit_score Estimate a Cross-Sectional Logit Score
fit_item_lca Fit item-wise latent-class models to paired responses
fit_item_lca_counts Fit item-wise latent-class models to transition counts
fit_person_lca Fit a joint person-level latent-class model
format_transition_matrix Format transition matrix result with appropriate row and column names
group_adj Group Level Adjustment That Accounts for Propensity to Guess
lca_adj Person Level Adjustment
lca_se Bootstrapped standard errors of effect size estimates
nona Normalize NA Responses
posterior_class_probs Compute posterior class probabilities
posterior_learned Compute posterior probability of learning
print.guess_cv Print method for guess_cv
print.guess_fit Print method for guess_fit
print.guess_gof Print method for item-level goodness-of-fit diagnostics
score_individual_lca Score an item LCA fit on individual responses
score_item_lca Score an item-level latent-class fit against transition counts
simulate_lca Simulation Functions for LCA Models
simulate_lca_dk Simulate Pre-Post Test Data (DK Model)
stnd_cor Standard Guessing Correction for Learning
summary.guess_cv Summary method for guess_cv
summary.guess_fit Summary method for guess_fit
validate_compatible_dataframes Validate that two data frames have compatible dimensions
validate_gamma Validate gamma parameter
validate_guessing_probability Validate guessing probabilities for standard correction
validate_priors Validate prior parameters
validate_recovery Validate Parameter Recovery via Monte Carlo Simulation
validate_transition_values Validate transition matrix values