https://github.com/jaimemosg/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. :mag::computer:
https://github.com/jaimemosg/estimationtools

distance-sampling maximum-likelihood-estimation r r-package rstats ttt-plot

Last synced: 8 months ago
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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. :mag::computer:

• Host: GitHub
• URL: https://github.com/jaimemosg/estimationtools
• Owner: Jaimemosg
• License: gpl-3.0
• Created: 2019-05-14T22:26:23.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2023-10-23T01:54:58.000Z (over 2 years ago)
• Last Synced: 2024-10-30T00:52:19.226Z (over 1 year ago)
• Topics: distance-sampling, maximum-likelihood-estimation, r, r-package, rstats, ttt-plot
• Language: R
• Homepage: https://jaimemosg.github.io/EstimationTools/
• Size: 196 MB
• Stars: 4
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd
  • Changelog: NEWS.md
  • License: LICENSE.md

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README

          
---

output:

  github_document:

    pandoc_args: --webtex

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

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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

```{r, echo=FALSE, message=FALSE, warning=FALSE, include=FALSE}

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:

``` {r eval=FALSE}

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](https://cran.r-project.org/package=EstimationTools) if you prefer. You can also type the following command lines

in `R` console:

```{r eval=FALSE}

install.packages("EstimationTools")

```

You can visit the [package website](https://Jaimemosg.github.io/EstimationTools/) to explore the functions reference and our vignettes (articles).

## Examples

You can visit our estimation [vignette](https://jaimemosg.github.io/EstimationTools/articles/Examples.html) to see the examples.