Package index • detect

All functions

AUC() rocplot(): AUC ROC plot for fitted models

bootstrap() extractBOOT(): Do bootstrap and extract bootstrap results

cmulti() cmulti.fit() cmulti2.fit() fitted(<cmulti>) model.frame(<cmulti>) model.matrix(<cmulti>) predict(<cmulti>): 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-package detect: Analyzing Wildlife Data with Detection Error

hbootindex(): Hierarchical bootstrap indices

cmulti.fit0() drop.scope.svisit(): Internal functions

josm: Bird point count data from Alberta's Oil Sands region

load_BAM_QPAD(): Load BAM QPAD parameter estimates and support functions

oven: Ovenbird abundances

paired: Example point count data set with paired human and ARU data

sqpad() sqpad.fit() print(<sqpad>) vcov(<sqpad>) fitted(<sqpad>) logLik(<sqpad>) summary(<sqpad>) print(<summary.sqpad>) predict(<sqpad>): Single-bin QPAD (SQPAD)

svabu() svabu.fit() svabu_nb.fit() zif() is.present() predictMCMC() svabu.step(): Single visit N-mixture abundance models

svocc() svocc.fit() extractMLE() svocc.step(): ZI Binomial model with single visit