FSTATS is a modern Fortran statistical library containing routines for computing basic statistical properties, hypothesis testing, regression, special functions, and even experimental design.
CMakeThis library can be built using CMake. For instructions see Running CMake.
FPM can also be used to build this library using the provided fpm.toml.
fpm buildThe FSTATS library can be used within your FPM project by adding the following to your fpm.toml file.
[dependencies]
fstats = { git = "https://github.com/jchristopherson/fstats" }Documentation can be found here.
Here is a list of external code libraries utilized by this library. The CMake build script will include these dependencies automatically; however, it is highly recommended that an optimized BLAS and LAPACK already reside on your system for best performance (used by LINALG for linear algebra calculations).
- Descriptive Statistics
- Hypothesis Testing
- ANOVA
- Regression
- Bootstrapping
- Sampling
- Special Functions
- Allan Variance
- Smoothing
- Experimental Design