estimate_se: estimate_se

In jpkrooney/rcorex: An Implementation of Total Correlation Explanation

estimate_se

Description

Internal Function to calculate bootstrap estimate of mean and standard error of gaussian parameters

Usage

estimate_se(x_i, p_y_given_x_3d, num_obs, reps = 20)

Arguments

x_i	A single variable/column of data
p_y_given_x_3d	A 3D array of numerics in range (0, 1), that represent the probability that each observed x variable belongs to n_hidden latent variables of dimension dim_hidden. p_y_given_x_3d has dimensions (n_hidden, n_samples, dim_hidden).
num_obs	A 2D array of dimensions (n_hidden, dim_hidden) representing expected counts of n_hidden x dim_hidden summed over data samples (rows) - can be non-integer
reps	numeric to specify number of bootstrap estimates to calculate. Default = 20

Value

Returns a list of 4 numerics names m1, m2, se1, se2 which are used in smoothing calculations by estimate_parameters_gaussian

jpkrooney/rcorex documentation built on July 25, 2022, 1:37 a.m.