lgpr - v1.2.4

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

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Published by jtimonen over 2 years ago

lgpr - v1.2.3

Use latest rstantools.

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Published by jtimonen about 3 years ago

lgpr - v.1.2.1

See NEWS.md.

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Published by jtimonen about 3 years ago

lgpr - v.1.2.0

See ´NEWS.md`.

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Published by jtimonen about 3 years ago

lgpr - v1.1.5

See NEWS.md.

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Published by jtimonen over 4 years ago

lgpr - v1.1.4

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

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Published by jtimonen almost 5 years ago

lgpr - 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

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Published by jtimonen almost 5 years ago

lgpr - v1.1.2

Small patch, see NEWS.md.

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Published by jtimonen almost 5 years ago

lgpr - 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.

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Published by jtimonen almost 5 years ago

lgpr - v1.0.13

See NEWS.md for release news.

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Published by jtimonen about 5 years ago

lgpr - v1.0.12

See NEWS.md for release news.

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Published by jtimonen over 5 years ago

lgpr - v1.0.11

Add c_hat_pred argument to the pred() function.

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Published by jtimonen over 5 years ago

lgpr - v1.0.10

• Allow setting group_by = NA in plot_pred(), plot_components() and new_x() to avoid grouping in plots.
• Allow setting color_by as the same factor as group_by in the above plot functions.
• Fix bug which caused an error when trying to define a separate prior for parameters of the same type.

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Published by jtimonen over 5 years ago

lgpr - v1.0.9

Small internal stan code change to avoid extra computation

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Published by jtimonen over 5 years ago

lgpr - v1.0.8

• Add option do_yrng which controls whether to do draws from the predictive distribution. This was previously always done if sample_f was TRUE. That is now considered a bug because it is unnecessary work if the y_rng draws are not needed. So the default is now do_yrng = FALSE, since do_yrng = TRUE can cause errors with the negative binomial model due to numerical problems (see here). These problems should be addressed in a future release to allow more stable prior and posterior predictive sampling.

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Published by jtimonen over 5 years ago

lgpr - v1.0.7

Small documentation updates.

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Published by jtimonen over 5 years ago

lgpr - v1.0.6

• Fix a bug in get_pred.sampled.h() (see NEWS.md)

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Published by jtimonen over 5 years ago

lgpr - v1.0.5

• Make plot_pred() work with any response variable name (fixes #12).
• Avoid adding ggplot2::color_scale_manual() if number of colors > 5 (fixes #11).

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Published by jtimonen over 5 years ago

lgpr - v1.0.4

• Updated type checking for functions
• Updated some warnings
• Create plotinputwarp and use it as a subroutine for plotwarp

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Published by jtimonen over 5 years ago

lgpr -

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Published by jtimonen over 5 years ago

lgpr - static pre-release

• functionality to check prior of warping steepness visually
• C_hat argument of lgp() can now be used to account for normalization
• convenience functions to create data input
• more unit tests and unify kernel function naming

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Published by jtimonen over 6 years ago

lgpr - Initial release

Initial development release of the package.

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Published by jtimonen over 6 years ago