| cap_hist_to_n_m_u | Convert capture history data to n, m and u for use in BTSPAS |
| data_btspas_diag1 | Estimating abundance of outgoing smolt - BTSPAS - diagonal case |
| data_btspas_nondiag1 | Estimating abundance of salmon - BTSPAS - non-diagonal case |
| data_kokanee_tagloss | Capture-recapture on Kokanee in Metolius River with tag loss |
| data_lfc_reverse | Lower Fraser Coho for Reverse Capture-Recapture with geographic stratification. |
| data_NorthernPike | Capture-recapture experiment on Northern Pike in Mille Lacs, MN, in 2005. |
| data_NorthernPike_tagloss | Capture-recapture experiment on Northern Pike in Mille Lacs, MN, in 2005 with tagloss information. |
| data_rodli | Capture-recapture experiment at Rodli Tarn. |
| data_sim_reward | Simulated data for reward tags used to estimate reporting rate |
| data_sim_tagloss_t2perm | Simulated data for tag loss with second permanent tag. |
| data_sim_tagloss_twoD | Simulated data for tag loss with 2 distinguishable tags. |
| data_spas_harrison | Estimating abundance of salmon - SPAS - Harrison River |
| data_wae_is_long | Walleye data with incomplete stratification with length covariate |
| data_wae_is_short | Walleye data with incomplete stratification with no covariates and condensed |
| data_yukon_reverse | Yukon River data used for Reverse Capture-Recapture example. |
| expit | Logit and anti-logit function. |
| fit_classes | *LP_fit*, *LP_IS_fit*, *LP_SPAS_cit*, *CL_fit*, *LP_BTSPAS_fit_Diag*, *LP_BTSPAS_fit_NonDiag*, *LP_CL_fit* classes. |
| logit | Logit and anti-logit function. |
| LP_AICc | Create an AIC table comparing multiple LP fits |
| LP_BTSPAS_est | Extract estimates of abundance after BTSPAS fit |
| LP_BTSPAS_fit_Diag | Wrapper (*_fit) to call the Time Stratified Petersen Estimator with Diagonal Entries function in BTSPAS. |
| LP_BTSPAS_fit_NonDiag | Wrapper (*_fit) to call the Time Stratified Petersen Estimator with NON-Diagonal Entries function in BTSPAS. |
| LP_CL_fit | Fit the Chen-Lloyd model to estimate abundance using a non-parametric smoother for a covariates |
| LP_est | Estimate abundance after the LP conditional likelihood fit. |
| LP_est_adjust | Estimate abundance after empirical adjustments for various factors. |
| LP_fit | Fit a Lincoln-Petersen Model using conditional likelihood |
| LP_for_rev_fit | Fit a combined FORWARD and REVERSE simple Lincoln-Petersen Model using pseudo-likelihood |
| LP_IS_est | Estimate abundance after the LP_IS conditional likelihood fit. |
| LP_IS_fit | Fit a Lincoln-Petersen Model with incomplete stratification |
| LP_IS_print | Print the results from a fit a Lincoln-Petersen Model with incomplete stratification |
| LP_modavg | Create an table of individual estimates and the model averaged values |
| LP_SPAS_est | Extract estimates of abundance after SPAS fit |
| LP_SPAS_fit | Fit a Stratified-Petersen SPAS model. |
| LP_summary_stats | Compute summary statistics from the capture histories |
| LP_test_equal_mf | Test for equal marked fractions in LP experiment |
| LP_test_equal_recap | Test for equal recapture probability in LP experiment |
| LP_TL_est | Estimate abundance after the LP_TL (tag loss) conditional likelihood fit. |
| LP_TL_fit | Fit a Lincoln-Petersen Model with Tag Loss using conditional likelihood |
| LP_TL_simulate | Simulate data from a Lincoln-Petersen Model with Tag Loss |
| n1_n2_m2_to_cap_hist | Convert n1, n2, m2 to capture history data for use in estimating. Vectors are transformed to strata. |
| split_cap_hist | Split a vector of capture histories into a matrix with one column for each occasion |