Package index

All functions

combine_independent_p_values()

Combine independent p-values that test the same null hypothesis into an overall summary

fisher_info_contribution()

Compute fisher information contribution to robust score statistic for glm robust score tests.

gee_test()

Generalized Estimating Equations under technical replication with robust and non-robust Wald and Rao (score) tests

get_test_statistic()

Just in case anyone wants to invert a p-value to recover the chi-squared distributed test statistic

glm_test()

Generalized Linear Models with robust and non-robust Wald and Rao (score) tests

jackknife_se()

Jackknife standard errors

lincom()

Run robust wald test for null hypothesis of form A x beta = c

multinom_beta_vector_to_matrix()

Create \(\beta\) matrix from vector of \(\beta\) for \(\beta_k : k \neq j\)

multinom_fisher_scoring()

Optimization under null or alternative for multinomial model via Fisher scoring.

multinom_get_probs()

Compute multinomial probabilities for a given value of model parameters.

multinom_info_mat()

Compute Information matrix for model parameters.

multinom_log_lik()

Negative log-likelihood for multinomial data under the alternative

multinom_penalized_estimation()

Optimization under null or alternative for multinomial model with a Firth penalty.

multinom_score_vector()

Compute score for model parameters.

multinom_test()

Robust score (Rao) tests for multinomial regression.

print(<raoFit>)

Print function

robust_score_test()

Robust score (Rao) tests with finite-sample correction

score_contribution()

Compute score contribution to robust score statistic for glm robust score tests.

set_up_lin_com()

Create matrix to be populated with coefficients for user-specified number of hypotheses.

simulate_data_mult()

Simulate multinomial data under the null (strong or weak) or alternative