Functions for computing critical values and implementing the one-sided/two-sided EL tests.

A novel concept for generating knowledge and gaining insights into laboratory data. You will be able to efficiently and easily explore your laboratory data from different perspectives. Janitza, S., Majumder, M., Mendolia, F., Jeske, S., & Kulmann, H. (2021) <doi:10.1007/s43441-021-00318-4>.

Energy landscape analysis (ELA) is a systematic method for analyzing an energy landscape represented as a weighted network. This R package is especially designed to analyze ecological dynamics, i.e., transitions in community compositions. For details of the analysis framework, please visit Suzuki K et al. (2021) <doi:10.1002/ecm.1469>.

Provides functions to align curves and to compute mean curves based on the 
    elastic distance defined in the square-root-velocity framework. For more details on 
    this framework see Srivastava and Klassen (2016, <doi:10.1007/978-1-4939-4020-2>). 
    For more theoretical details on our methods and algorithms see 
    Steyer et al. (2023, <doi:10.1111/biom.13706>) and Steyer et al. (2023, <arXiv:2305.02075>).

Performs some enhanced variable selection algorithms 
  based on the least absolute shrinkage and selection operator for regression model.

Provides functions for the computation of functional elastic shape 
  means over sets of open planar curves. The package is particularly suitable for 
  settings where these curves are only sparsely and irregularly observed. It uses 
  a novel approach for elastic shape mean estimation, where planar curves are
  treated as complex functions and a full Procrustes mean is estimated from the
  corresponding smoothed Hermitian covariance surface. This is combined with the 
  methods for elastic mean estimation proposed in Steyer, Stöcker, Greven	(2022)
  <doi:10.1111/biom.13706>. See Stöcker et. al. (2022) <arXiv:2203.10522> for details.

Connect to 'Elasticsearch' and 'OpenSearch', 'NoSQL' databases 
    built on the 'Java' Virtual Machine and using the 'Apache' 'Lucene' library. 
    Interacts with the 'Elasticsearch' 'HTTP' API' 
    (<https://www.elastic.co/elasticsearch/>) and the
    'OpenSearch' 'HTTP' 'API' (<https://opensearch.org/>). 
    Includes functions for setting connection details to 'Elasticsearch' and 
    'OpenSearch' instances, loading bulk data, searching for documents with 
    both 'HTTP' query variables and 'JSON' based body requests. 
    In addition, 'elastic' provides functions for interacting with APIs
    for 'indices', documents, nodes, clusters, an interface to the cat API, 
    and more.