These are generally similar to the Splus versions, except where R provides different utility functions (e.g. for maximizing an arbitrary function).

• lnlbin.txt Example, using binomial model, of maximizing a likelihood, estimating the hessian, and numerically estimating the variance.
• lnlmulti.txt Example, using multinomial model, of maximizing a likelihood with more than one parameter, estimating the hessian, numerically estimating the variance, and calculating the profile likelihood.
• simmulti.txt Functions to simulate capture history data from M0, Mt, and Mb. Also, functions to compute sufficient statistics for each model from a capture history.
• normal.r Driver program for Bayesian estimation of parameters from a single normal sample.
• normal.bug WinBUGS code for Bayesian estimation of parameters from a single normal sample.
• exp.r Driver program for Bayesian estimation of parameters of a exponential growth state space model
• exp.bug WinBUGS code for Bayesian estimation of parameters of a exponential growth state space model
• logistic.r Driver program for Bayesian estimation of parameters of a logistic growth state space model
• logistic.bug WinBUGS code for Bayesian estimation of parameters of a logistic growth state space model
• matrix.r Example of deterministic matrix model calculations, including sensitivity matrix
• cypress2.r Example of spatial point pattern analysis in splancs. Examples of NN distribution function, univariate K, MC estimation of sampling distribution under CSR, and bivariate K.
• cypress.r Example of spatial point pattern analysis using Ripley's K in spatstat. Examples of univariate K, MC estimation of sampling distribution under CSR, and bivariate K.