dsem 1.4.0

Adding option for lower and upper bounds
Adding stepwise_selection for automated stepwise model selection
Adding plot option to use ggraph as alternative to previous igraph option
Adding convert_equations to extend sem::specifyEquations and simplify specification for large models
Adding argument prior_negloglike as interface to specify Bayesian priors and/or likelihood penalties in dsem
Adding dsemRTMB using RTMB as interchangeable alternative to dsem using TMB

dsem 1.3.0

Adding option to specify constant marginal variance, as alternative to existing calculation which results in a constant conditional variance but a changing marginal variance along the causal graph

removing checkDepPackageVersion(dep_pkg="Matrix", this_pkg="TMB") from .onLoad() as requested by K. Kristensen

Adding option to specify covariance via argument covs
Adding options to specify gmrf_parameterization=“projection”
Adding vigette outlining how to fit dynamic factor analysis
Fix bug arising when tsdata had two or more columns sharing a single variable name
Adding make_dfa helper function
Updating bering_sea dataset to include extra year of cold-pool, and changing vignette to match the published specification and results
Updating the lag indexing for the Klein-I model in the vignette to use positive values for lags, and updating saved MCMC results to match that corrected specification

Eliminate eval usage
Add codecov Action and badge
Change default behavior so that all variables in tsdata have a standard deviation by default