A collection of four datasets 
    based around the population dynamics of migratory fish. Datasets 
    contain both basic size information on a per fish basis, as well as
    otolith data that contains a per day record of fish growth history.
    All data in this package was collected by the author, from 
    2015-2016, in the Wellington region of New Zealand.

The FisherEM algorithm, proposed by Bouveyron & Brunet (2012) <doi:10.1007/s11222-011-9249-9>,
        is an efficient method for the clustering of high-dimensional data. FisherEM models and 
        clusters the data in a discriminative and low-dimensional latent subspace. It also provides
        a low-dimensional representation of the clustered data. A sparse version of Fisher-EM
        algorithm is also provided.

Base maps are transformed to focus on a specific location using an
    azimuthal logarithmic distance transformation.

Dataset of 302 measurements of 11 fish species to accompany the
    manuscript "Length-weight relationships of six freshwater fish species
    from lake Kirkkojarvi, Finland".

Functions for applying a wide range of fisheries stock assessment methods.

Fits models to catch and effort data. Single-species models are 1) delta log-normal, 2) Tweedie, or 3) Poisson-gamma (G)LMs.

Provides an alternative to facilitate the construction of a phylogeny for fish species from a list of species
   or a community matrix using as a backbone the phylogenetic tree proposed by Rabosky et al. (2018) <doi:10.1038/s41586-018-0273-1>.

Calculates metabolic rate of fish and other aquatic organisms measured using
             an intermittent-flow respirometry approach. The tool is used to run a set of graphical
             QC tests of raw respirometry data, correct it for background respiration and chamber
             effect, filter and extract target values of absolute and mass-specific metabolic rate.
             Experimental design should include background respiration tests and measuring of one
             or more metabolic rate traits. The R package is ideally integrated with the pump
             controller 'PumpResp' and the DO meter 'SensResp' (open-source hardware by FishResp).
             Raw respirometry data can be also imported from 'AquaResp' (free software), 'AutoResp'
             ('LoligoSystems'), 'OxyView' ('PreSens'), 'Pyro Oxygen Logger' ('PyroScience') and
             'Q-box Aqua' ('QubitSystems'). More information about the R package 'FishResp'is
             available in the publication by Morozov et al. (2019) <doi:10.1093/conphys/coz003>.