tinyVAST 1.1.0

• Adding term_covariance to calculate the covariance among variables for SEM term, or covariance among variables-and-lags for DSEM terms
• Adding Restricted Spatial Regression estimator for covariates alphaprime_j and alphaprime2_j to fit$rep output.
• Adding methods to allow use of cv to calculate crossvalidation skill
• Add bias.correct option to predict (but still no flag for SEs for anything except p_i)
• Switch sample_variable from using obj$env$MC to obj$env$spHess(random=TRUE) which seems more stable as dependency
• Add functionality for te and ti splines, although they remain poorly tested
• Add error check to sfnetwork_mesh to detect if the stream network is not ordered as a tree
• Improve stream network vignette to use matrix notation for joint precision, and modify simulate_sfnetwork to use that
• Change tinyVAST.cpp to use matrix notation constructor and fix bug in previous constructor where the covariance between first and second nodes was not right
• Expand test-sfnetworks.R integrated test to confirm that matrix-notation precision constructor is identical to the inverse of Ornstein-Uhlenbeck covariance as intended.

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
• Add tinyVASTcontrol option that suppresses nlminb warning messages by default, which are typically not informative to casual users

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