| detect-package | Analyzing Wildlife Data with Detection Error |
| AUC | AUC ROC plot for fitted models |
| bootstrap | Do bootstrap and extract bootstrap results |
| cmulti | Conditional Multinomial Maximum Likelihood Estimation |
| cmulti.fit | Conditional Multinomial Maximum Likelihood Estimation |
| cmulti2.fit | Conditional Multinomial Maximum Likelihood Estimation |
| convertEDR | Conversion between truncated and unlimited effective detection distance (EDR) |
| databu | Simulated example for abundance model |
| datocc | Simulated example for occupancy model |
| detect | Analyzing Wildlife Data with Detection Error |
| extractBOOT | Do bootstrap and extract bootstrap results |
| extractMLE | ZI Binomial model with single visit |
| fitted.cmulti | Conditional Multinomial Maximum Likelihood Estimation |
| hbootindex | Hierarchical bootstrap indices |
| is.present | Single visit N-mixture abundance models |
| load_BAM_QPAD | Load BAM QPAD parameter estimates and support functions |
| model.frame.cmulti | Conditional Multinomial Maximum Likelihood Estimation |
| model.matrix.cmulti | Conditional Multinomial Maximum Likelihood Estimation |
| oven | Ovenbird abundances |
| predict.cmulti | Conditional Multinomial Maximum Likelihood Estimation |
| predictMCMC | Single visit N-mixture abundance models |
| rocplot | AUC ROC plot for fitted models |
| svabu | Single visit N-mixture abundance models |
| svabu.fit | Single visit N-mixture abundance models |
| svabu.step | Single visit N-mixture abundance models |
| svabu_nb.fit | Single visit N-mixture abundance models |
| svocc | ZI Binomial model with single visit |
| svocc.fit | ZI Binomial model with single visit |
| svocc.step | ZI Binomial model with single visit |
| zif | Single visit N-mixture abundance models |