v1.2.4

Now using rstan >= 2.26 and the new Stan array syntax.

v1.2.3

Use latest rstantools.

v.1.2.1

See NEWS.md.

v.1.2.0

See ´NEWS.md`.

v1.1.5

See NEWS.md.

v1.1.4

• Improved linear algebra in postprocessing (less time and memory consuming)
• New vignette

v1.1.3

• The first CRAN release! See https://cran.r-project.org/web/packages/lgpr/index.html
• Makes installation a lot more accessible easier as users don't need a C++ toolchain when installing from CRAN
• Minor documentation improvements

v1.1.2

Small patch, see NEWS.md.

v.1.1.0

• Adds prior_pred() for prior predictive sampling and sample_param_prior() for sampling from the parameter prior.
• Adds read_proteomics_data() function.
• Relax data type checking, to require that they only inherit from factor
  or numeric. Allow also tibbles and data.tables to be passed as data.
• Adds more methods for lgpfit and lgpmodel objects, see their
  documentation.
• Lot of improvements internally. Kernel computations
  in functions like pred() should take a lot less memory now. Two separete
  main Stan models now. One for latent GP (signal where f is sampled) and other for GP with marginalized f.
• Improved documentation.
• Improve verbose messages to user.

v1.0.13

See NEWS.md for release news.