erglm 0.2.0

• erglm_scm_forward()/erglm_scm_backward() gain a criterion argument, supporting "aic"/"bic"-based term selection in addition to the existing "p-value" default. The SCM history (erglm_scm_history()) gains a criterion column recording which selection rule was applied in each forward/backward step (#7).
• The bundled erglm_data dataset’s continuous columns (aucss, cmaxss, biomarker_change, ae_duration) are now rounded to two decimal places, a more realistic degree of precision; underlying values are otherwise unchanged.
• erglm no longer depends on rlang, withr, tibble, or dplyr (mvtnorm remains its only runtime dependency besides base stats). As a result, erglm_predict(), simulate.erglm_model(), and the bundled erglm_data dataset now return/are plain data frames rather than tibbles, and erglm_predict()’s fit_link/se_link/fit_resp columns lose the observation-index names they used to carry as a predict.glm() artifact; underlying values are otherwise unchanged. tibble has also been dropped from Suggests entirely, since the vignettes now build their example data with plain data.frame() calls too.
• Fixed several documentation gaps across help pages, vignettes, and the README: missing descriptions, undocumented argument defaults, and broken cross-references, including several references to erplots’ er_vpc_plot(), which has been replaced by er_vpc_add_simulated().

erglm 0.1.1

CRAN resubmission, addressing reviewer feedback on the 0.1.0 submission:

• Self-references to ‘erglm’ in the DESCRIPTION Description field are now single-quoted, per CRAN’s software-name convention.
• DESCRIPTION now declares Additional_repositories: https://djnavarro.r-universe.dev, the repository from which the optional Suggests dependency ‘erplots’ (not on CRAN) can be installed, per CRAN policy on declaring where to obtain such packages.
• DESCRIPTION’s Description field now capitalises Poisson and Gaussian (they name the eponymous distributions/families), per further reviewer feedback; binomial and gamma are left lowercase, as neither is an eponym.

erglm 0.1.0

Initial CRAN release.

• Model fitting and prediction for exposure-response models based on glm() (erglm_model(), erglm_predict()), supporting arbitrary glm() families; binomial, poisson, gaussian, and gamma are tested and officially supported end to end (fitting, prediction, SCM significance testing, and simulation).
• Stepwise covariate modelling (erglm_scm_forward(), erglm_scm_backward(), erglm_scm_history()), built on the single-term erglm_add_term()/erglm_remove_term() helpers.
• Simulation support (erglm_fun(), simulate.erglm_model()) for drawing replicate responses from a fitted model, with sampled coefficients and both expected and simulated response columns.
• Interoperability with the companion erplots package via er_predict()/er_simulate()/er_summary() methods, registered lazily so erglm has no hard dependency on erplots or on any plotting package.
• erglm_link()/erglm_invlink(), discoverable wrappers around a fitted model’s link and inverse-link functions.
• An example dataset, erglm_data, with binary, count, and continuous/right-skewed continuous response columns for demonstrating each supported family.