Man pages for pempi
Proportion Estimation with Marginal Proxy Information
| conditional_mle | Compute MLE based on the full information R1, R2, R3 and R4. |
| covid19_austria | COVID-19 Data from Statistics Austria |
| get_prob | Compute sucess probabilities (tau_j's) |
| log_modified | Modified log function (internal function) |
| marginal_mle | Compute (marginalized) MLE based on the partial information... |
| moment_estimator | Compute moment-based estimator. |
| neg_log_lik | Negative Log-Likelihood function |
| neg_log_lik_integrated | Negative marginalized log-likelihood function based on R0 and... |
| neg_log_wlik | Negative Weighted Log-Likelihood function |
| print.cpreval | Print estimation results |
| print.cpreval_sim | Print (simulated) sample |
| sim_Rs | Simulate data (R, R0, R1, R2, R3 and R4) |
| survey_mle | Compute proportion in the survey sample (standard estimator) |
| update_prevalence | Update prevalence using new case prevalence rates |
