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_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_SPAS_est             Extract estimates of abundance after SPAS fit
LP_SPAS_fit             Fit a Stratified-Petersen SPAS model.
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
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_modavg               Create an table of individual estimates and the
                        model averaged values
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
cap_hist_to_n_m_u       Convert capture history data to n, m and u for
                        use in BTSPAS
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_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_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.
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.
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
