All the seeds do not germinate at a single point in time due to physiological mechanisms determined by temperature which vary among individual seeds in the population. Seeds germinate by following accumulation of thermal time in degree days/hours, quantified by multiplying the time of germination with excess of base temperature required by each seed for its germination, which follows log-normal distribution. The theoretical germination course can be obtained by regressing the rate of germination at various fractions against temperature (Garcia et al., 1982), where the fraction-wise regression lines intersect the temperature axis at base temperature and the methodology of determining optimum base temperature has been described by Ellis et al. (1987). This package helps to find the base temperature of seed germination using algorithms of Garcia et al. (1982) and Ellis et al. (1982) <doi:10.1093/JXB/38.6.1033> <doi:10.1093/jxb/33.2.288>.

Functions to create and select graphical themes for the base plotting system. Contains: 1) several custom pre-made themes 2) mechanism for creating new themes by making persistent changes to the graphical parameters of base plots.

Resurrects the standard plot for shapes established by the
 'base' and 'graphics' packages. This is suited to workflows that require
 plotting using the established and traditional idioms of plotting spatially
 coincident data where it belongs. This package depends on 'sf' and only replaces 
 the plot method.

Evaluate, fit, and analyze Hill dose response models (Goutelle et 
    al., 2008 <doi:10.1111/j.1472-8206.2008.00633.x>), also sometimes referred
    to as four-parameter log-logistic models.  Includes tools to invert Hill 
    models,  select models based on the Akaike information criterion
    (Akaike, 1974 <doi:10.1109/TAC.1974.1100705>) or Bayesian information 
    criterion (Schwarz, 1978 <https://www.jstor.org/stable/2958889>), and 
    construct bootstrapped confidence intervals both
    on the Hill model parameters and values derived from the Hill model
    parameters.