print.MLEtf: print.MLEtf function

In SaraGarcesCespedes/estimtf: Estimation of Distributional and Regression Parameters using TensorFlow

Description

Function to display the estimates of parameters from probability distributions using the mle_tf function or parameters from regression models using the mlereg_tf function.

Usage

## S3 method for class 'MLEtf'
print(x, ...)

Arguments

x	an object of class MLEtf for which a visualization of the estimates is desired.
...	additional arguments affecting the displayed estimates.

Details

print.MLEtf function displays the estimates of parameters from probability distributions and regression models.

Author(s)

Sara Garcés Céspedes [e-mail]

Examples

#---------------------------------------------------------------
# Estimation of both normal distrubution parameters

# Generate a sample from the normal distribution
x <- rnorm(n = 1000, mean = 10, sd = 3)

# Use the print function
print(mle_tf(x,
             xdist = "Normal",
             initparam = list(mean = 1.0, sd = 1.0),
             optimizer = "AdamOptimizer",
             hyperparameters = list(learning_rate = 0.1)))

SaraGarcesCespedes/estimtf documentation built on Nov. 7, 2021, 10:29 p.m.