In the updated app, Stan lets customers choose the quality of their downloads in the 'App Settings' section. Here, you'll find three download quality options: Quick and Dirty gives users quicker downloads with less storage used, Standard provides a balance between quality, download speed and storage space, while Best predictably offers the highest video quality and takes up the most space on your internal storage or SD card.
Can You Download Stan On Mac
To make shows or movies available for offline viewing, simply go to your chosen content's episode list or landing page and tap the downward facing 'download' arrow next to your desired episode or film. This looks identical to how offline viewing works on Netflix.
Downloaded shows will remain on your storage for 30 days, after which you will need to download your shows or movies again in order to watch them. You can find your offline content in the 'My Downloads' section of the app, which you can reach by tapping the menu icon at the top left corner of the screen.
We also highly recommend installing RStudio, as we will provide you with interactive RMarkdown files as additional resources that are best viewed and used in RStudio. Please, download RStudio or update it to the latest version:
If you have already installed brms and its dependencies before, then you can skip the installation and just check that everything works by running example(stan_model, package = "rstan", run.dontrun = TRUE) in the console.
If your Mac has an Intel chip, you need to install gfortran v8.2 (for Mojave) independent of your macOS version. You can download the installer from -for-macOS/releases/tag/8.2.
If your Mac has an Apple M1 chip, you will need to install gfortran v11. You can download it from here: -for-macOS/releases/tag/11-arm-alpha2 (download the .pkg package listed under Assets at the bottom of the page).
which allows you to automatically save a bare version of a compiled Stan program to the hard disk so that it does not need to be recompiled (unless you change it). You will need to run these commands each time you load the rstan library.
We start by writing a Stan program for the model in a text file. If you are using RStudio version 1.2.x or greater, click on File -> New File -> Stan File . Otherwise, open your favorite text editor. Either way, paste in the following and save your work to a file called schools.stan in R's working directory (which can be seen by executing getwd())
The object fit, returned from function stan is an S4 object of classstanfit. On Windows you may get a warning about g++ not being found but this appears to be harmless. Methods such as print, plot, and pairs are associated with thefitted result so we can use the following code to check out the results in fit.print provides a summary for the parameter of the model as wellas the log-posterior with name lp__ (see the following example output).For more methods and details of class stanfit, see the help of class stanfit.
In particular, we can use the extract function on stanfit objects toobtain the samples. extract extracts samples from the stanfitobject as a list of arrays for parameters of interest, or just an array.In addition, S3 functions as.array, as.matrix, and as.data.frame are definedfor stanfit objects (using help("as.array.stanfit") to checkout the help document in R).
The Rats example is also a popular example. For example, we can find theOpenBUGS version fromhere, which originally is fromGelfand et al (1990).The data are about the growth of 30 rats weekly for five weeks.In the following table, we list the data, in which we use x to denote the datesthe data were collected. We can try this example using the linked datarats.txtand model code rats.stan.
and choosing an example model from the list that pops up. The first time you call stan_demo(), it will ask you if you want to download these examples. You should choose option 1 to put them in the directory where rstan was installed so that they can be used in the future without redownloading them. The model object above is an instance of class stanfit, so you can call print, plot, pairs, extract, etc. on it afterward.
More details about RStan can be found in the documentation including the vignette of package rstan.For example, using help(stan) and help("stanfit-class") to check out the help for function stanand S4 class stanfit.And see Stan's modeling language manual for details about Stan's samplers, optimizers, and the Stan modeling language.
It is currently possible on a mac with catalina to run install.packages("rstan", repos = " -project.org/", dependencies = TRUE), have it not ask you to compile from source, and have pkgbuild::has_build_tools(debug = TRUE) return TRUE and still have rstan compilation problems.
As far as I can tell, the quick start guide for Macs is out of date. Some of my students have had trouble installing rstan and brms on Big Sur on a Mac. The problem seems to be the toolchain instructions. The following post seems to explain how to install gfortran. The toolchain per se cannot be installed as instructed on the quick start guide for rstan etc.
I believe this will work if you are just trying to use stan. This is probably bad advice if you have other purposes for Xcode. It appears that the command line tools may have been causing issues with the c++ compiler? I got the idea from this github issue comment. These steps have allowed me to at least run the following example without error:
* You can't download films or TV shows to Apple TV, smart TVs or streaming devices. You can only download HDR content to certain iPhone, iPad and iPod touch models. You can't download 4K video content to any device.
At 4k Ultra (UHD), Stan uses 7 GB per hour. This will change depending on the quality of the video you are streaming. For example, if you're watching a 1080p HD video, Stan will use 2.9 GB per hour. And if you're watching a standard definition video, Stan will only use 1.1 GB per hour.
Following an announcement at the start of February, Australian streaming service Stan has added offline viewing to its suite of smartphone and tablet apps. If you're running the latest version of the Stan app, you're now able to download a decent chunk of Stan's catalogue to your iPhone, iPad, or Android device to watch when you don't have an active internet connection.
You're able to choose from three video quality settings for downloaded content: Quick n Dirty, Standard, and Best. Quick n Dirty will use around 300MB per hour of downloaded content, Standard around 600MB per hour, and Best around 1.6GB per hour. This will use both your download allowance and your device's internal storage.
Downloaded shows and movies are viewable for 30 days. Once you start watching your download content, you have 48 hours to finish it watching it, after which point it expiries. You can however redownload expired content as much as you like, but you do actually have to redownload it, and as such, re-use your data. Video licensing is weird, hey.
Jaksta Media Recorder is well known as an all in one stan.com.au Downloader, stan.com.au Recorder and stan.com.au Capture Tool and allows the downloading, recording and capturing of Video, Music and Radio.
The object fit, returned from function stan stores samples from theposterior distribution. The fit object has a number of methods, includingplot and extract. We can also print the fit object and receivea summary of the posterior samples as well as the log-posterior (which has thename lp__).
22-04-2014: Due to changes in the password encryption system of Joomla (that's the platform where stan2web.net is running on) it is not possible anymore to access the stan2web database with STAN 2.5.1103 or older. Please download the latest STAN version (we fixed this problem starting with STAN 2.5.1201).
The reason is simple, PIP is a package manager for this language. It allows you to manage libraries and dependencies that are added to the standard library, but not just that. It helps you to install those whos are missing during your development process.
The C++ header files of the Stan project are provided by this package, but it contains little R code or documentation. The main reference is the vignette. There is a shared object containing part of the 'CVODES' library, but its functionality is not accessible from R. 'StanHeaders' is primarily useful for developers who want to utilize the 'LinkingTo' directive of their package's DESCRIPTION file to build on the Stan library without incurring unnecessary dependencies. The Stan project develops a probabilistic programming language that implements full or approximate Bayesian statistical inference via Markov Chain Monte Carlo or 'variational' methods and implements (optionally penalized) maximum likelihood estimation via optimization. The Stan library includes an advanced automatic differentiation scheme, 'templated' statistical and linear algebra functions that can handle the automatically 'differentiable' scalar types (and doubles, 'ints', etc.), and a parser for the Stan language. The 'rstan' package provides user-facing R functions to parse, compile, test, estimate, and analyze Stan models.
You can download apps by using cellular data by going to Settings > tap your name at the top > iTunes & App Store > App Downloads and select, "Always Allow." That information is outlined in this helpful article within the "Learn More" section: Download apps and games from the App Store 2ff7e9595c
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