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 / decoding. Hashes strings and raw vectors directly. Stream hashes
    files which can be 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.

Facilitates secret management by storing credentials in a dedicated file, 
          keeping them out of your code base. 
          The secrets are stored without encryption.  
          This package is compatible with secrets stored by the 'SecretsProvider' 'Python' package <https://pypi.org/project/SecretsProvider/>.

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>.