Catch advice for data-limited vertebrate and invertebrate 
    fisheries managed by harvest slot limits using the SlotLim harvest 
    control rule. The package accompanies the manuscript "SlotLim: catch advice 
    for data-limited vertebrate and invertebrate fisheries managed by harvest 
    slot limits" (Pritchard et al., in prep). Minimum data requirements: at 
    least two consecutive years of catch data, length–frequency distributions, 
    and biomass or abundance indices (all from fishery-dependent sources); 
    species-specific growth rate parameters (either von Bertalanffy, Gompertz, 
    or Schnute); and either the natural mortality rate ('M') or the maximum 
    observed age ('tmax'), from which M is estimated. The following functions 
    have optional plotting capabilities that require 'ggplot2' installed: 
    prop_target(), TBA(), SAM(), catch_advice(), catch_adjust(), and 
    slotlim_once().

An implementation of a phylogenetic comparative method. It can fit univariate among-species Ornstein-Uhlenbeck models of phenotypic trait evolution, where the trait evolves towards a primary optimum. The optimum can be modelled as a single parameter, as multiple discrete regimes on the phylogenetic tree, and/or with continuous covariates. See also Hansen (1997) <doi:10.2307/2411186>, Butler & King (2004) <doi:10.1086/426002>, Hansen et al. (2008) <doi:10.1111/j.1558-5646.2008.00412.x>.

A mostly pure-R implementation of the RAKE algorithm (Rose, S., Engel, D., Cramer, N. and Cowley, W. (2010) <doi:10.1002/9780470689646.ch1>), which can be used to extract keywords from documents without any training data.

Interface for creation of 'slp' class smoother objects for 
             use in Generalized Additive Models (as implemented by packages 
             'gam' and 'mgcv').

Presidential Election data of "Sri Lanka"" is stored in Pdf
    files, through Pdf scraping they are converted into data-frames and
    stored in this R package.

A facility to generate balanced semi-Latin rectangles with any cell size (preferably up to ten) with given number of treatments, see Uto, N.P. and Bailey, R.A. (2020). "Balanced Semi-Latin rectangles: properties, existence and constructions for block size two". Journal of Statistical Theory and Practice, 14(3), 1-11, <doi:10.1007/s42519-020-00118-3>. It also provides facility to generate partially balanced semi-Latin rectangles for cell size 2, 3 and 4 for any number of treatments.