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EstimationTools

The goal of EstimationTools is to provide tools and routines for maximum likelihood estimation of probability density/mass functions in R.

Installation

You can install the latest version (4.0.0) of EstimationTools typing the following command lines in R console:

if (!require('devtools')) install.packages('devtools')
devtools::install_github('Jaimemosg/EstimationTools', force = TRUE)
library(EstimationTools)

Or you can install the released version (4.0.0) from CRAN if you prefer. You can also type the following command lines in R console:

install.packages("EstimationTools")

You can visit the package website to explore the functions reference and our vignettes (articles).

Examples

You can visit our estimation vignette to see the examples.

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Version

Install

install.packages('EstimationTools')

Monthly Downloads

445

Version

4.0.0

License

GPL-3

Issues

Pull Requests

Stars

Forks

Maintainer

Jaime Mosquera

Last Published

December 10th, 2022

Functions in EstimationTools (4.0.0)

loess.options

Configure various aspects of LOESS in TTT_hazard_shape
hazard_rate_key

Hazard rate key function
interp.options

Configure various aspects of interpolating function in TTT_hazard_shape
log_link

Logarithmic link function (for estimation with maxlogL object)
formula2Surv

Internal functions for formula and data handle
integration

Integration
is.maxlogL

Is return of any object of EstimationTools?
logit_link

Logit link function (for estimation with maxlogL object)
legend.HazardShape

Customize legend for plot.HazardShape outputs
maxlogL

Maximum Likelihood Estimation for parametric distributions
print.HazardShape

Print method for HazardShape objects
uniform_key

Uniform key function
plot.EmpiricalTTT

Plot method for EmpiricalTTT objects
plot.HazardShape

Plot of HazardShape objects
summate

Summation of One-Dimensional Functions
residuals.maxlogL

Extract Residuals from maxlogL model.
maxlogLreg

Maximum Likelihood Estimation for parametric linear regression models
summary.maxlogL

Summarize Maximum Likelihood Estimation
predict.maxlogL

Predict Method for maxlogL Fits
reduction_cells

Reduction cells
coef.maxlogL

Extract Model Coefficients in a maxlogL Fits
half_norm_key

Half normal key function
Fibers

Tensile strengths
TTT_hazard_shape

Hazard Shape estimation from TTT plot
bootstrap_maxlogL

Bootstrap computation of standard error for maxlogL class objects.
gauss_quad

Numerical integration through Gaussian Quadrature
TTTE_Analytical

Empirical Total Time on Test (TTT), analytic version.
NegInv_link

Negative inverse link function (for estimation with maxlogL object)
hazard_fun

Hazard functions in maxlogL framework
Hazard_Shape

Hazard shape extracted from HazardShape objects