The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

stgam 0.0.0.9000

• created initial package for GitHub.

stgam 0.0.1.0

• created initial package for CRAN submission.
• tidied functions to overcome ‘no visible global function definition’ in CMD checks,

stgam 0.0.1.1

• updated initial package to replace data function inputs with input_data.
• tidied help file omissions and typos

stgam 0.0.1.2

• corrected and genericised the do_bma function

stgam 0.0.1.3

• expanded the output of do_bma to include averaged \(\hat{y}\) and working residuals
• returns weighted vary coefficient estimates appended to input data

stgam 1.0.0

• space-time GAMs are reformatted to include Tensor Product smooths for combined space-time
• modelling averaging is removed

stgam 1.0.1

• London borough data (lb) corrected
  
• typos in vignette corrected

stgam 1.0.2

• fix to vignette plot

stgam 1.1.0

• updates to functions and vignette to use te() tensor product smooths for space-time smooths, replacing t2()
• inclusion of t-values in coefficient estimates

stgam 1.2.0

• updates to main function (evaluate_models()) for user specification of k or to increase k automatically
• new function for quantifying the effect size of each model term (effect_size())
• updates to gam_model_rank to evaluate models by AIC and to report k for each smooth
• new vignettes
• new case study dataset

stgam 1.2.1

• update to main function (evaluate_models()) with fast GAM option using mgcv::bam
• update to gam_model_rank() function to include k in the results

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.