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tinyVAST 1.0.1

• Modify examples for simulate.tinyVAST and sample_variable to try to avoid terminal output giving error in valgrind check
• Add ivector_minus_one function to satisfy clang-UBSAN
• Swap GMRF(Q).Quadform(x) to x.matrix().transpose() * (Q * x.matrix()) to avoid calculating log-determinant of Q in the smoothers penalty, to avoid valgrind errors

tinyVAST 1.0.0

• Adding nbinom1 and nbinom2 families
• Simplify argument names, by changing sem to space_term, dsem to spacetime_term and spatial_graph to spatial_domain, and eliminating delta_ in the names for arguments to delta_options
• Add time_term to allow time-variable interaction (e.g., AR1 intercepts)
• Adding overview and model-description vignettes
• Add simulate S3 generic

tinyVAST 0.7.1

• Fixed bug (wrong output) when using predict(fit, what="mu_g") and a Poisson-linked delta model
• Fixed bug (cryptic error message) when using integrate_output
• Add cAIC (but disabling EDF calculation for now)

tinyVAST 0.7.0

• Adding option for spatially-varying-coefficient (SVC) models
• Add error-check for when data has a factor with extra levels, which conflicted with the logic of adding all origdata levels to newdata when calling predict, and hence caused an uniformative error previously

tinyVAST 0.6.0

• Change integrate_output interface by splitting W_gz and V_gz into four vectors area, type, covariate, and weighting_index to simplify documentations and improve naming
• Fix bug where cloglog and logit links were not previously implemented for use in predict and integrate_output

tinyVAST 0.5.0

• Adding vignette showing how to fit multiple data types in an SDM
• Adding deviance_explained and calculating this by default

tinyVAST 0.4.0

• Adding code for simulation residuals, and examples to vignettes

tinyVAST 0.3.0

• Adding sdmTMB as dependency, and importing family options from it
• Adding vignette for joint analysis of condition and density

tinyVAST 0.2.0

• Add option to specify covariance in SEM and DSEM notation

tinyVAST 0.1.0

• Initial public alpha release

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.
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