Adjust Estimates of Learning for Guessing

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Documentation for package ‘guess’ version 0.7.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

calculate_expected_values	Calculate expected values for goodness of fit test
coef.guess_fit	Extract coefficients from guess_fit
cross_sectional_learning	Cross-sectional learning estimate
cross_sectional_learning_score	Cross-Sectional Learning Score
cv_individuals	K-fold cross-validation over individuals
cv_items	K-fold cross-validation over items
estimate_logit_score	Estimate a Cross-Sectional Logit Score
fit_dk	Goodness of fit statistics for transition matrix data
fit_model	Goodness of fit statistics for transition matrix data
fit_nodk	Goodness of fit statistics for transition matrix data
format_transition_matrix	Format transition matrix result with appropriate row and column names
group_adj	Group Level Adjustment That Accounts for Propensity to Guess
item_lca_fit	Fit Independent Item-Wise LCA Models
lca_adj	Person Level Adjustment
lca_cor	Calculate item level and aggregate learning
lca_difficulty	Estimate LCA model with a bounded guessing-probability link
lca_se	Bootstrapped standard errors of effect size estimates
log_likelihood	Calculate log-likelihood for transition data
multi_transmat	Creates a transition matrix for each item.
nona	Normalize NA Responses
perplexity_individuals	Calculate perplexity from individual-level data
perplexity_items	Calculate perplexity from aggregated item data
person_item_lca_fit	Fit a Joint Person-Level Latent Class Model
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
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
transmat	transmat: Cross-wave transition matrix
validate_compatible_dataframes	Validate that two data frames have compatible dimensions
validate_gamma	Validate gamma parameter
validate_lucky_vector	Validate lucky vector for standard correction
validate_priors	Validate prior parameters
validate_recovery	Validate Parameter Recovery via Monte Carlo Simulation
validate_transition_values	Validate transition matrix values