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kelly-sovacool merged 3 commits into from
Oct 31, 2025
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chore: bump dev version #359

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884eb92
chore: bump dev version
kelly-sovacool Oct 29, 2025
6e652a0
docs: add r-universe
kelly-sovacool Oct 29, 2025
2ebdb12
style: remove CRAN subsection header
kelly-sovacool Oct 30, 2025
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2 changes: 1 addition & 1 deletion DESCRIPTION
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@@ -1,6 +1,6 @@
Package: mikropml
Title: User-Friendly R Package for Supervised Machine Learning Pipelines
Version: 1.7.0
Version: 1.7.0.9000
Authors@R: c(
person("Begüm", "Topçuoğlu", , "topcuoglu.begum@gmail.com", role = "aut",
comment = c(ORCID = "0000-0003-3140-537X")),
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2 changes: 2 additions & 0 deletions NEWS.md
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@@ -1,3 +1,5 @@
# mikropml development version

# mikropml 1.7.0

- mikropml now supports datasets in `TreeSummarizedExperiment` format (#349, @TuomasBorman).
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15 changes: 11 additions & 4 deletions README.Rmd
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Expand Up @@ -25,6 +25,7 @@ User-Friendly R Package for Supervised Machine Learning Pipelines
[![codecov](https://codecov.io/gh/SchlossLab/mikropml/branch/main/graph/badge.svg)](https://app.codecov.io/gh/SchlossLab/mikropml)
[![license](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/SchlossLab/mikropml/blob/main/LICENSE.md)
[![CRAN](https://img.shields.io/cran/v/mikropml?color=blue&label=CRAN&logo=R)](https://CRAN.R-project.org/package=mikropml)
[![r-universe](https://schlosslab.r-universe.dev/mikropml/badges/version)](https://schlosslab.r-universe.dev/mikropml)
[![Conda](https://img.shields.io/conda/vn/conda-forge/r-mikropml)](https://anaconda.org/conda-forge/r-mikropml)
[![DOI](https://joss.theoj.org/papers/10.21105/joss.03073/status.svg)](https://doi.org/10.21105/joss.03073)
<!-- badges: end -->
Expand All @@ -47,12 +48,19 @@ You can install the latest release from
install.packages('mikropml')
```

or the development version from
or from [r-universe](https://schlosslab.r-universe.dev/mikropml):


```{r install_universe, eval = FALSE}
install.packages('mikropml', repos = c('https://schlosslab.r-universe.dev'))
```

or install the development version from
[GitHub](https://github.com/SchlossLab/mikRopML):

```{r install_github, eval = FALSE}
# install.packages("devtools")
devtools::install_github("SchlossLab/mikropml")
# install.packages("remotes")
remotes::install_github("SchlossLab/mikropml")
```

or install from a terminal using
Expand All @@ -64,7 +72,6 @@ or [mamba](https://mamba.readthedocs.io/en/latest/):
mamba install -c conda-forge r-mikropml
```


### Dependencies

```{r deps, echo = FALSE, message = FALSE, warning = FALSE}
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15 changes: 12 additions & 3 deletions README.md
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Expand Up @@ -13,6 +13,7 @@ User-Friendly R Package for Supervised Machine Learning Pipelines
[![codecov](https://codecov.io/gh/SchlossLab/mikropml/branch/main/graph/badge.svg)](https://app.codecov.io/gh/SchlossLab/mikropml)
[![license](https://img.shields.io/badge/license-MIT-blue.svg)](https://github.com/SchlossLab/mikropml/blob/main/LICENSE.md)
[![CRAN](https://img.shields.io/cran/v/mikropml?color=blue&label=CRAN&logo=R)](https://CRAN.R-project.org/package=mikropml)
[![r-universe](https://schlosslab.r-universe.dev/mikropml/badges/version)](https://schlosslab.r-universe.dev/mikropml)
[![Conda](https://img.shields.io/conda/vn/conda-forge/r-mikropml)](https://anaconda.org/conda-forge/r-mikropml)
[![DOI](https://joss.theoj.org/papers/10.21105/joss.03073/status.svg)](https://doi.org/10.21105/joss.03073)
<!-- badges: end -->
Expand All @@ -27,6 +28,8 @@ information, documentation, and examples.

## Installation

### CRAN

You can install the latest release from
[CRAN](https://cran.r-project.org/package=mikropml):
<img src='https://cranlogs.r-pkg.org/badges/grand-total/mikropml' align='right'/>
Expand All @@ -35,12 +38,18 @@ You can install the latest release from
install.packages('mikropml')
```

or the development version from
or from [r-universe](https://schlosslab.r-universe.dev/mikropml):

``` r
install.packages('mikropml', repos = c('https://schlosslab.r-universe.dev'))
```

or install the development version from
[GitHub](https://github.com/SchlossLab/mikRopML):

``` r
# install.packages("devtools")
devtools::install_github("SchlossLab/mikropml")
# install.packages("remotes")
remotes::install_github("SchlossLab/mikropml")
```

or install from a terminal using
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