Amazon Best VPN GoSearch

OnWorks favicon

Mixed-effects models in Julia download for Linux

Free download Mixed-effects models in Julia Linux app to run online in Ubuntu online, Fedora online or Debian online

This is the Linux app named Mixed-effects models in Julia whose latest release can be downloaded as v4.37.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named Mixed-effects models in Julia with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start the OnWorks Linux online or Windows online emulator or MACOS online emulator from this website.

- 5. From the OnWorks Linux OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application, install it and run it.

SCREENSHOTS

Ad


Mixed-effects models in Julia


DESCRIPTION

This package defines linear mixed models (LinearMixedModel) and generalized linear mixed models (GeneralizedLinearMixedModel). Users can use the abstraction for statistical model API to build, fit (fit/fit!), and query the fitted models. A mixed-effects model is a statistical model for a response variable as a function of one or more covariates. For a categorical covariate the coefficients associated with the levels of the covariate are sometimes called effects, as in "the effect of using Treatment 1 versus the placebo". If the potential levels of the covariate are fixed and reproducible, e.g. the levels for Sex could be "F" and "M", they are modeled with fixed-effects parameters. If the levels constitute a sample from a population, e.g. the Subject or the Item at a particular observation, they are modeled as random effects.



Features

  • A mixed-effects model contains both fixed-effects and random-effects terms
  • With fixed-effects it is the coefficients themselves or combinations of coefficients that are of interest
  • For random effects it is the variability of the effects over the population that is of interest
  • For Windows, Linux, and macOS
  • A mixed-effects model is a statistical model for a response variable as a function of one or more covariates
  • Typical distribution forms are Bernoulli for binary data or Poisson for count data


Programming Language

Julia


Categories

Data Visualization

This is an application that can also be fetched from https://sourceforge.net/projects/mixed-effects-models.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


Free Servers & Workstations

Download Windows & Linux apps

Linux commands

Ad




×
Advertisement
❤️Shop, book, or buy here — no cost, helps keep services free.