greta-stats.org valuation and analysis
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| Title | Simple and Scalable Statistical Modelling in R • |
| Description | basic get started docs examples analyses eight schools election 88 more why ’greta’? technical details software contribute to greta Changelog FAQ simple and sca |
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| WebSite | |
| Host IP | 68.183.29.183 |
| Location | United States |
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greta-stats.org Valuation
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US$5,484,647
Last updated: 2023-05-08 12:27:06
greta-stats.org has Semrush global rank of 1,929,806. greta-stats.org has an estimated worth of US$ 5,484,647, based on its estimated Ads revenue. greta-stats.org receives approximately 632,844 unique visitors each day. Its web server is located in United States, with IP address 68.183.29.183. According to SiteAdvisor, greta-stats.org is safe to visit. |
Traffic & Worth Estimates
| Purchase/Sale Value | US$5,484,647 |
| Daily Ads Revenue | US$5,063 |
| Monthly Ads Revenue | US$151,883 |
| Yearly Ads Revenue | US$1,822,591 |
| Daily Unique Visitors | 42,190 |
| Note: All traffic and earnings values are estimates. | |
DNS Records
| Host | Type | TTL | Data |
| greta-stats.org. | A | 299 | IP: 68.183.29.183 |
| greta-stats.org. | A | 299 | IP: 167.172.139.120 |
| greta-stats.org. | NS | 3600 | NS Record: dns1.p07.nsone.net. |
| greta-stats.org. | NS | 3600 | NS Record: dns2.p07.nsone.net. |
| greta-stats.org. | NS | 3600 | NS Record: dns3.p07.nsone.net. |
| greta-stats.org. | NS | 3600 | NS Record: dns4.p07.nsone.net. |
| greta-stats.org. | MX | 3600 | MX Record: 10 mxb.mailgun.org. |
| greta-stats.org. | MX | 3600 | MX Record: 10 mxa.mailgun.org. |
HtmlToTextCheckTime:2023-05-08 12:27:06
| get started docs examples analyses eight schools election 88 more why ’greta’? technical details software contribute to greta Changelog FAQ simple and scalable statistical modelling in R simple greta models are written right in R, so there’s no need to learn another language like BUGS or Stan scalable greta uses Google TensorFlow so it’s fast even on massive datasets, and runs on CPU clusters and GPUs extensible it’s easy to write your own R functions and packages using greta basic example get started example models package docs basic example Here’s a Bayesian linear regression model for the iris data using greta: x <- iris$Petal.Length y <- iris$Sepal.Length library(greta) int <- normal(0, 5) coef <- normal(0, 3) sd <- lognormal(0, 3) mean <- int + coef * x distribution(y) <- normal(mean, sd) m <- model(int, coef, sd) draws <- mcmc(m, n_samples = 1000, chains = 4) |
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