eight.results.default | R Documentation |
Default simulation results from generating 10,000 data sets from a bounded power law, with $x_min=1, $x_max=1000$ and $b=-2$, and fitting each set using the eight methods, as described in MEE paper. Results are used to produce histograms and confidence intervals of estimated exponent $b$ in MEE Figures 3 and 4, and statistics in Table 2 (except for MLEbin method).
eight.results.default
A list with elements:
Llin.rep.df: Dataframe with columns slope
, confMin
and confMax
,
giving the estimated slope, min and max of 95% confidence intervals from
the Llin method, with each row representing the values for one of the 10,000 simulated data sets
LT.rep.df, LTplus1.rep.df, LBmiz.rep.df, LBbiom.rep.df, LBNbiom.rep.df, LCD.rep.df: Corresponding respective data frames for the next six methods
MLE.rep.df: Corresponding dataframe for the MLE method but with the first column estimating $b$ not a slope
MLEfix.rep.df: Same as MLE.rep.df
but for the MLEfix method, fixing $x_max$ to the known
value of 1000 for each simulated data set (for Figures A.3, A.4 and A.5 of
MEE).
MLE.rep.xmax: The corresponding estimate of $x_max$ for the MLE
method (namely max(x)
) for each simulated data set.
b: Default value of b
(namely -2) for simulations.
xmin: Default value of xmin
(namely 1) for simulations.
xmax: Default value of xmax
(namely 1000) for simulations.
Generated from running data-raw/simulate-data.R
.
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