Functions to estimate the density and size of a spatially 
  distributed animal population sampled with an array of passive detectors, 
  such as traps, or by searching polygons or transects. Models incorporating 
  distance-dependent detection are fitted by maximizing the likelihood. 
  Tools are included for data manipulation and model selection.

Tools for designing spatially explicit capture-recapture studies of animal populations. This is primarily a simulation manager for package 'secr'. Extensions in version 2.5.0 include costing and evaluation of detector spacing.

Allow sharing sensitive information, for example passwords,
    'API' keys, etc., in R packages, using public key cryptography.

Fast and memory-efficient streaming hash functions and base64
    encoding and decoding. Performs direct hashing of strings and raw vectors.
    Stream hashes files potentially larger than memory, as well as in-memory
    objects through R's serialization mechanism. Implementations include the
    SHA-256, SHA-3 and 'Keccak' cryptographic hash functions, SHAKE256
    extendable-output function (XOF), and 'SipHash' pseudo-random function.

Encrypt text using a simple shifting substitution cipher with setcode(), providing two numeric keys used to define the encryption algorithm. The resulting text can be decoded using decode() function and the two numeric keys specified during encryption.

Tools for spatially explicit capture-recapture analysis of animal populations in linear habitats, extending package 'secr'.

Simultaneously infers state-dependent diversification across
 two or more states of a single or multiple traits while accounting for the
 role of a possible concealed trait. See Herrera-Alsina et al. (2019)
 <doi:10.1093/sysbio/syy057>.

Determining potential output and the output gap - two inherently unobservable variables - is a major challenge for macroeconomists. 'sectorgap' features a flexible modeling and estimation framework for a multivariate Bayesian state space model identifying economic output fluctuations consistent with subsectors of the economy. The proposed model is able to capture various correlations between output and a set of aggregate as well as subsector indicators. Estimation of the latent states and parameters is achieved using a simple Gibbs sampling procedure and various plotting options facilitate the assessment of the results. For details on the methodology and an illustrative example, see Streicher (2024) <https://www.research-collection.ethz.ch/handle/20.500.11850/653682>.