Extended Batch Marking Models
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Documentation for package ‘extBatchMarking’ version 1.1.0
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| batchLL | batchLL function provides the batch marking log-likelihood |
| batchLogit | batchLogit function |
| batchMarkHmmLL | Log-likelihood function for marked model. |
| batchMarkOptim | Marked model only. |
| batchMarkUnmarkHmmLL | Log-likelihood function for combined model. |
| batchMarkUnmarkOptim | Combined Marked and Unmarked models. |
| batchUnmark2Viterbi | batchUnmark2Viterbi function provides a wrapper for the batchUnmarkViterbi to compute the popuation abundance |
| batchUnmarkHmmLL | batchUnmarkHmmLL function provides the unmarked function to be optimized |
| batchUnmarkViterbi | batchUnmarkViterbi function provides the implementation of the Viterbi alogrithm for the unmarked model |
| dbinpois | Convolution of Poisson and Binomial for Batch |
| delta_g | initial probability function |
| gamma_gt | Transition State Probability 'gamma_gt' computes the transition probability matrix |
| plot.batchMarkOptim | Plot Method for batchMarkUnmarkOptim Objects |
| plot.batchMarkUnmarkOptim | Plot Method for batchMarkUnmarkOptim Objects |
| print.batchMarkOptim | Print Method for batchMarkOptim Objects |
| print.batchMarkUnmarkOptim | Print Method for batchMarkUnmarkOptim Objects |
| probs | State-dependent probability function |
| WeatherLoach | Weather Loach data |