Palettes generated from limnology based field and laboratory photos. Palettes can be used to generate color values to be used in any functions that calls for a color (i.e. ggplot(), plot(), flextable(), etc.).

'LimeSurvey' is Free/Libre Open Source Software for
  the development and administrations of online studies, using
  sophisticated tailoring capabilities to support multiple study
  designs (see <https://www.limesurvey.org>). This package supports
  programmatic creation of surveys that can then be imported into
  'LimeSurvey', as well as user friendly import of responses from
  'LimeSurvey' studies.

A flexible approach, inspired by cosinor regression, for
  differential analysis of rhythmic transcriptome data. See Singer and Hughey
  (2018) <doi:10.1177/0748730418813785>.

Fit linear models based on periodic splines, moderate model
  coefficients using multivariate adaptive shrinkage, then compute properties of
  the moderated curves.

Functions that (1) find the minimum/maximum of a linear or quadratic function:
  min or max (f(x)), where f(x) = ||Ax-b||^2 or f(x) = sum(a_i*x_i)
  subject to equality constraints Ex=f and/or inequality constraints Gx>=h,
  (2) sample an underdetermined- or overdetermined system Ex=f subject to Gx>=h, and if applicable Ax~=b,      
  (3) solve a linear system Ax=B for the unknown x. It includes banded and tridiagonal linear systems.

Evaluates whether the relationship between two vectors is linear or nonlinear. Performs a test to determine how well a linear model fits the data compared to higher order polynomial models. Jhang et al. (2004) <doi:10.1043/1543-2165(2004)128%3C44:EOLITC%3E2.0.CO;2>.

Short for 'linear binning', the linbin package provides functions
    for manipulating, binning, and plotting linearly referenced data. Although
    developed for data collected on river networks, it can be used with any interval
    or point data referenced to a 1-dimensional coordinate system. Flexible bin
    generation and batch processing makes it easy to compute and visualize variables
    at multiple scales, useful for identifying patterns within and between variables
    and investigating the influence of scale of observation on data interpretation.