Measurement and Linear Hypothesis Models for Lambda Star

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Documentation for package ‘lambdastar’ version 0.8.1

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

Help Pages

lambdastar-package	Lambda Star: measurement, linear hypotheses and percentile intervals
center_columns	Center a numeric matrix
confint.lambda_comparison	Extract Lambda Star percentile intervals
confint.lambda_measurement	Extract Lambda Star percentile intervals
confint.lambda_model	Extract Lambda Star percentile intervals
design_volume	Encoded design volume
estimate_lambda_partition_items	Estimate the noncentrality partition for an explicit design
estimate_lambda_star_items	Estimate intrinsic structure from parallel measurements
eta_app	Smooth capacity approximation and geometric activation
eta_numerical	Quantized maximum-entropy capacity
geometry_activation	Smooth capacity approximation and geometric activation
hypothesis_basis	Construct a centered hypothesis basis
lambdastar	Lambda Star: measurement, linear hypotheses and percentile intervals
lambda_bootstrap_control	Settings for case or cluster percentile bootstrap intervals
lambda_compare	Compare two models on one common measurement matrix
lambda_contrast	Encode a homogeneous linear coefficient hypothesis
lambda_control	Numerical settings for the Lambda Star core
lambda_design	Bind a reusable encoded model specification to input rows
lambda_hypothesis	Construct a conditional block from full-model terms
lambda_inference	Estimator selection and ordinary percentile bootstrap
lambda_marginal_contrast	Encode contrasts of explicitly specified predictor settings
lambda_measure	Prepare parallel measurements from a common data frame
lambda_model	Evaluate a complete linear hypothesis model
lambda_paired	Evaluate paired mean differences from parallel measurement pairs
lambda_panel	Encode fixed models on person-by-occasion observations
lambda_reference	Encode a hypothesis relative to a known reference
lambda_results	Inspect Lambda Star results
make_eta_numerical_lookup	Build a reusable capacity integral lookup
print.lambda_ci	Inspect Lambda Star results
print.lambda_comparison	Inspect Lambda Star results
print.lambda_comparison_summary	Inspect Lambda Star results
print.lambda_design	Bind a reusable encoded model specification to input rows
print.lambda_measurement	Inspect Lambda Star results
print.lambda_model	Inspect Lambda Star results
print.lambda_summary	Inspect Lambda Star results
project_onto_basis	Project a vector using an orthonormal basis
summary.lambda_comparison	Inspect Lambda Star results
summary.lambda_measurement	Inspect Lambda Star results
summary.lambda_model	Inspect Lambda Star results
thermodynamic_model_state	Evaluate the parsimony functional for one encoded hypothesis
xi_a	Smooth capacity approximation and geometric activation
xi_eta_app	Smooth capacity approximation and geometric activation
xi_eta_numerical	Integrate numerical capacity over temperature