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Merge pull request #180 from stan-dev/remove_stan_repo_install_sugges…
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Cleanup the mention of posterior on stan-dev/r-packages repo
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paul-buerkner authored Jul 14, 2021
2 parents befdfbd + acc3054 commit b097153
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8 changes: 1 addition & 7 deletions README.Rmd
Original file line number Diff line number Diff line change
Expand Up @@ -58,13 +58,7 @@ You can install the latest official release version via
install.packages("posterior")
```

Alternatively, you can install binaries of the current development version via

```{r install_mc_stan, eval=FALSE}
install.packages("posterior", repos = c("https://mc-stan.org/r-packages/", getOption("repos")))
```

or directly build the package from GitHub via
or build the developmental version directly from GitHub via

```{r install_github, eval=FALSE}
# install.packages("remotes")
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79 changes: 36 additions & 43 deletions README.md
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Expand Up @@ -43,14 +43,7 @@ You can install the latest official release version via
install.packages("posterior")
```

Alternatively, you can install binaries of the current development
version via

``` r
install.packages("posterior", repos = c("https://mc-stan.org/r-packages/", getOption("repos")))
```

or directly build the package from GitHub via
or build the developmental version directly from GitHub via

``` r
# install.packages("remotes")
Expand Down Expand Up @@ -300,12 +293,12 @@ x4 <- bind_draws(x1, x3, along = "variable")
print(x4)
#> # A draws_matrix: 5 iterations, 1 chains, and 3 variables
#> variable
#> draw alpha beta theta
#> 1 0.240 1 0.59
#> 2 0.232 1 0.25
#> 3 -1.234 1 0.70
#> 4 0.479 1 1.41
#> 5 0.013 1 1.28
#> draw alpha beta theta
#> 1 -0.82 1 0.54
#> 2 0.53 1 0.54
#> 3 -0.79 1 0.38
#> 4 0.92 1 0.58
#> 5 -0.17 1 0.17
```

Or, we can bind `x1` and `x2` together along the `'draw'` dimension:
Expand All @@ -315,17 +308,17 @@ x5 <- bind_draws(x1, x2, along = "draw")
print(x5)
#> # A draws_matrix: 10 iterations, 1 chains, and 2 variables
#> variable
#> draw alpha beta
#> 1 0.2400 1
#> 2 0.2319 1
#> 3 -1.2345 1
#> 4 0.4795 1
#> 5 0.0134 1
#> 6 -1.0251 2
#> 7 -1.9515 2
#> 8 -0.0013 2
#> 9 1.6684 2
#> 10 0.2678 2
#> draw alpha beta
#> 1 -0.820 1
#> 2 0.527 1
#> 3 -0.789 1
#> 4 0.925 1
#> 5 -0.169 1
#> 6 -0.193 2
#> 7 1.535 2
#> 8 0.502 2
#> 9 -0.207 2
#> 10 -0.085 2
```

As with all **posterior** methods, `bind_draws` can be used with all
Expand All @@ -344,27 +337,27 @@ x <- as_draws_matrix(x)
print(x)
#> # A draws_matrix: 10 iterations, 1 chains, and 5 variables
#> variable
#> draw V1 V2 V3 V4 V5
#> 1 -0.382 -0.429 0.1463 0.762 2.33
#> 2 -0.160 -0.211 0.9480 -0.760 1.11
#> 3 -0.048 0.085 0.5779 -0.627 -0.88
#> 4 0.513 1.053 -0.7525 1.033 -1.09
#> 5 1.455 -0.779 1.4205 -1.766 0.16
#> 6 0.019 -1.131 0.0088 -0.094 0.54
#> 7 0.767 -1.511 0.7245 0.843 0.28
#> 8 -0.953 -0.200 1.9397 0.520 -0.58
#> 9 1.173 -0.325 -0.4821 0.948 1.14
#> 10 0.873 0.486 1.4913 -0.693 1.02
#> draw V1 V2 V3 V4 V5
#> 1 -0.203 0.616 -1.770 -0.4751 -0.931
#> 2 0.077 1.060 0.664 0.3097 1.492
#> 3 -1.733 -0.511 0.215 -0.4082 0.478
#> 4 -1.127 -0.084 0.039 -0.0935 1.517
#> 5 -2.102 -0.152 2.204 0.1133 -0.815
#> 6 -0.304 0.502 -0.090 -0.1632 1.528
#> 7 -0.802 -1.780 0.416 0.0023 0.265
#> 8 -0.459 0.804 0.350 -0.2718 1.313
#> 9 1.116 -2.127 -1.598 -0.7790 0.038
#> 10 -1.033 -0.694 0.673 -0.0686 -1.437

summarise_draws(x, "mean", "sd", "median", "mad")
#> # A tibble: 5 x 5
#> variable mean sd median mad
#> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 V1 0.326 0.755 0.266 0.822
#> 2 V2 -0.296 0.747 -0.268 0.641
#> 3 V3 0.602 0.879 0.651 1.05
#> 4 V4 0.0166 0.949 0.213 1.15
#> 5 V5 0.403 1.06 0.412 1.06
#> variable mean sd median mad
#> <chr> <dbl> <dbl> <dbl> <dbl>
#> 1 V1 -0.657 0.924 -0.631 0.685
#> 2 V2 -0.237 1.07 -0.118 1.00
#> 3 V3 0.110 1.14 0.283 0.559
#> 4 V4 -0.183 0.314 -0.128 0.285
#> 5 V5 0.345 1.12 0.371 1.68
```

Instead of `as_draws_matrix()` we also could have just used
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8 changes: 4 additions & 4 deletions docs/articles/index.html

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108 changes: 54 additions & 54 deletions docs/articles/posterior.html

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5 changes: 2 additions & 3 deletions vignettes/posterior.Rmd
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Expand Up @@ -27,11 +27,10 @@ from Bayesian models. The primary goals of the package are to:

## Installation

The package is not on CRAN yet, but you can install the latest beta release
version via
You can install the latest official release version via

```{r install, eval=FALSE}
install.packages("posterior", repos = c("https://mc-stan.org/r-packages/", getOption("repos")))
install.packages("posterior")
```

or the latest development version from GitHub via
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