evaluation: Numerical evaluation for different estimation methods.

In latentcor: Fast Computation of Latent Correlations for Mixed Data

Numerical evaluation for different estimation methods.

Description

Speed and accuracy comparison of two different estimation methods.

Usage

evaluation(
  genfun,
  estfun_1,
  estfun_2,
  grid_list,
  nrep = 100,
  showplot = FALSE,
  cores = detectCores(),
  ...
)

Arguments

genfun	A data generation function.
estfun_1	A function for first estimation method.
estfun_2	A function for second estimation method.
grid_list	A list for grid points to be evaluated (each element of list is a vector represents ticklabels on a dimension). The number of list elements are the dimension of function inputs.
nrep	Number of replications in simulation.
showplot	Logical indicator. showplot = TRUE generates the heatmaps of output arrays. NULL if showplot = FALSE.
cores	The numbers of cores (threads) of your machine to conduct parallel computing.
...	Other inputs for data generation or estimation functions to be passed through.

Value

evaluation returns

• meanAE_1: An array for mean absolute error of first estimation method.

• meanAE_2: An array for mean absolute error of second estimation method.

• medianAE_1: An array for median absolute error of first estimation method.

• medianAE_2: An array for median absolute error of second estimation method.

• maxAE_1: An array for maximum absolute error of first estimation method.

• maxAE_2: An array for maximum absolute error of second estimation method.

• meanAE_diff: An array for mean absolute error of difference between two estimations.

• medianAE_diff: An array for median absolute error of difference between two estimations.

• maxAE_diff: An array for maximum absolute error of difference between two estimations.

• mediantime_1: An array for median time of first estimation method.

• mediantime_2: An array for median time of second estimation method.

• plot_meanAE_1: A plot for mean absolute error of first estimation method.

• plot_meanAE_2: A plot for mean absolute error of second estimation method.

• plot_medianAE_1: A plot for median absolute error of first estimation method.

• plot_medianAE_2: A plot for median absolute error of second estimation method.

• plot_maxAE_1: A plot for maximum absolute error of first estimation method.

• plot_maxAE_2: A plot for maximum absolute error of second estimation method.

• plot_meanAE_diff: A plot for mean absolute error of difference between two estimations.

• plot_medianAE_diff: A plot for median absolute error of difference between two estimations.

• plot_maxAE_diff: A plot for maximum absolute error of difference between two estimations.

• plot_mediantime_1: A plot for median time of first estimation method.

• plot_mediantime_2: A plot for median time of second estimation method.

latentcor documentation built on Sept. 6, 2022, 1:06 a.m.