EstimationTools

This package provides routines for parameter estimation and model diagnostics for any probability density or mass function implemented in R via maximum likelihood given a data set, with or without covariates. Tools in this package have general applicability, especially in survival analysis and distance sampling.

GPL-3.0 License

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output:
github_document:
pandoc_args: --webtex

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)

EstimationTools

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

Installation

file <- readtext::readtext('DESCRIPTION')
text <- file$text
mysubstring <- regmatches(text, gregexpr("\nVersion:(.+)\n", text, perl = TRUE))
split1 <- strsplit(mysubstring[[1]], split = '\n')
split2 <- strsplit(split1[[1]][2], split = ' ')
myversion <- split2[[1]][2]

You can install the latest version (r myversion) 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.