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dsem 1.7.0

• Add option to turn off useless NA/NaN function evaluation function evaluations from nlminb (enabled by default, but overriden in dsem_control)
• Use Matrix::bandSparse to simplify logic in make_matrices
• Add experimental function partition_variance
• Extend total_effect to compute result for either pulse or press experiment
• Adding exploratory option gmrf_parameterization = "conditional_krig" that excludes family = "fixed" variables from the GMRF density calculation while still conditioning upon their value(s)

dsem 1.6.0

• Export and document make_matrices
• Remove ggm from Imports (because it Imports graph which is not on CRAN) and instead define a locally copy of relevant functions. Also adding Giovanni M. Marchetti (the maintainer of ggm as contributor in DESCRIPTION)
• Update test_dsep(.) to allow options for imputing missing data prior to test, and using default impute_data = "by_test" based on explorations to date
• Add example for total_effect
• Adding “model structura” vignette and re-organizing pkgdown page

dsem 1.5.0

• Add option to simulate data with or without missingness pattern of original data
• Change test_dsep(.) to have option to impute missing data, and changing that to be the default behavior

dsem 1.5.0

• Fix bug when adding missing variances (PR 36)
• Fix bug in detecting high ratio of variances (issue 35)
• Added test_dsep(.) to calculate a p-value for the probability that a a data set arose from the specified model (highly experimental)
• Added total_effect(.) to calculate total effects
• Fixed bug where dsem crashed when quiet = FALSE and running without data e.g., as qualitative network model
• Added vignette showing how to approximate diffusive movement using DSEM with paths among adjacent strata

dsem 1.4.1

• Edits to allow DSEM to run when all path coefficients are fixed (contributed by Maurice Goodman)

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

dsem 1.2.1

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

dsem 1.2.0

• 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

dsem 1.1.0

• Adding option to specify covariance in Gamma

dsem 1.0.2

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

dsem 1.0.1

• Fix bug in simulate.dsem to keep up with changing interface in dsem
• Update CITATION to indicate accepted paper
• Remove fit_tmb to eliminate cryptic warning messages and simplify code

dsem 1.0.0

• Initial public 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.