From c5286e5e168032c8ea7f4bb2e4d11ecc3223e282 Mon Sep 17 00:00:00 2001 From: jorenham Date: Tue, 27 Aug 2024 09:04:00 +0200 Subject: [PATCH] Fix documentation links in the `README.md` --- README.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/README.md b/README.md index 1ff0ac1f..c2025648 100644 --- a/README.md +++ b/README.md @@ -38,7 +38,7 @@ So Lmo is as fast as sorting your samples (in terms of time-complexity). - Goodness-of-fit test, using L-moment or L-moment ratio's. - Exact (co)variance structure of the sample- and population L-moments. - Theoretical & empirical influence functions of L-moments & L-ratio's. -- Complete [docs](https://jorenham.github.io/lmo/), including detailed API +- Complete [docs](https://jorenham.github.io/Lmo/), including detailed API reference with usage examples and with mathematical $\TeX$ definitions. - Clean Pythonic syntax for ease of use. - Vectorized functions for very fast fitting. @@ -71,7 +71,7 @@ array([0. , 0.69782723]) --- -See the [documentation](https://jorenham.github.io/lmo/) for more examples and +See the [documentation](https://jorenham.github.io/Lmo/) for more examples and the API reference. ## Roadmap @@ -81,7 +81,7 @@ the API reference. ## Installation -Lmo is on [PyPI](https://pypi.org/project/lmo/), so you can do something like: +Lmo is on [PyPI](https://pypi.org/project/Lmo/), so you can do something like: ```shell pip install lmo