ControlElementRatioFit: Set the control parameters for the optimization of the...

In AaronRendahl/WeatheringTrends: Fits Weathering Trends

Description

ControlElementRatioFit sets the control parameters for the optimization of the element ratio fit

Usage

ControlElementRatioFit(depth, logratio, loglinear, p.start = 0.2,
  pd.start = 0.5, c.start = diff(range(logratio))/2, d.start = pd.start *
  max(depth), par.start, lower = c(p = 0, d = 0.05 * max(depth), c =
  -diff(range(logratio)), s1 = 0.1 * stats::sd(logratio), s2 = 0.1 *
  stats::sd(logratio), r = min(logratio)), upper = c(p = 0.95, d = max(depth),
  c = diff(range(logratio)), s1 = stats::sd(range(logratio)), s2 =
  stats::sd(range(logratio)), r = max(logratio)), parscale = c(p = 1, d =
  max(depth), c = 1, s1 = 1, s2 = 1, r = 1))

Arguments

depth	depth
logratio	logratio
loglinear	allows the linear portion to be linear on the log(ratio) scale instead of the ratio scale
p.start	p.start
pd.start	pd.start Where d should start, in terms of proportion of maximum depth
c.start	c.start
d.start	d.start
par.start	par.start
lower	lower
upper	upper
parscale	parscale

Value

data frame with the starting parameters, the lower and upper bounds, and the scaling

AaronRendahl/WeatheringTrends documentation built on May 5, 2019, 11:42 a.m.