qgcomp v2.4.0

Major changes

• Documentation improvements
• Added hurdle models (qgcomp.hurdle.*boot functions), which address the excess in zeroes in a distribution slightly differently from zero inflated models (based on pscl package functions.)

Bug fixes

• Package broom deprecates a dependency in an upcoming release. This dependency was removed
• Bug with pointwisebound.noboot when non-exposure variables are encoded as factors
• fixed bug in .split.cluster.data function that failed with most ID variable types
• fixed R 4.0.0 bug where MCsize was ignored
• fixed rare bug in hurdle/zi methods with non-quantized exposures, resulted in ridiculous runtimes if not errors

qgcomp v2.3.0

Major changes

• Documentation improvements
• Added ability to perform weighted analysis for glm, survival, and zero inflated objects
• Implement sample splitting to estimate partial effects via qgcomp.partials.

Bug fixes

• Fixed bug in print function that missed linear fits
• Fixed visual bug in plots introduced after updating ggplot 3.3.0 (instituted forced update of ggplot2 for users, sorry!)

qgcomp v2.2.2

Major changes

• Documentation improvements
• Added pointwisebound.boot() and pointwisebound.noboot() function to get confidence intervals for pointwise comparisons (e.g. mean outcome at all exposures below first quartile compared to mean outcome at all exposures above the third quartile. Used after qgcomp fits.
• Added support for Poisson link in qgcomp.boot() and qgcomp.noboot() functions to fit quantile g-computation for count data
• Added generics and tibble package dependencies and optional installs of broom
• Added functions to facilitate multiple imputation through the mice package.
• Added weight parameters to base, zi, and cox (not yet used) in preparation for v2.3.0, which will implement weighting
• Added vc_comb() to better calculate covariance matrices.

Bug fixes

• Fixed an error in confidence bounds in plot functions introduced in v2.0.0 (binary outcomes in qgcomp.boot).
• id parameter caused intermittent error when used in qgcomp.boot
• MCsize parameter caused intermittent error when used in qgcomp.boot
• vcov() didn’t yield a covariance matrix when applied to qgcomp.*.noboot objects

qgcomp v2.1.2

Major changes

• Documentation improvements
• Added qgcomp.zi.boot function to fit non-linear/non-additive versions of quantile g-computation for zero-inflated Poisson or negative binomial models
• Added two functions to estimate confidence intervals for regression line fits and pointwise comparisons: modelbound.boot, pointwisebound.boot

Bug fixes

• MAJOR: Fixed error in confidence bounds in plot functions introduced in v2.0.0

qgcomp v2.0.0

Major changes

• Documentation improvements
• Added qgcomp.zi.noboot function to fit (linear/additive only) versions of quantile g-computation for zero-inflated Poisson or negative binomial models (adds additional dependency on pscl package)
• Major version change to account for possible breaking of old code in v.1.3.0

Bug fixes

• MAJOR: Fixed error in print function that printed incorrect confidence intervals introduced in v1.3.0

qgcomp v1.3.0

Major changes

• Documentation improvements
• Improved error messages
• Added intercept to main output (this may break some code that depends on qgcomp)
• Added pointwise confidence bounds and better control over plot output for qgcomp.boot fits.

Bug fixes

• Fixed fatal error for plotting output of qgcomp.cox.boot when model was adjusted for covariates
• Fixed variable typing issue that arose when fitting qgcomp.boot with a single exposure variable with non-linear fit

qgcomp v1.2.0

Major changes

• Added bootstrapped version of Cox proportional hazards model, which estimates parameters of a marginal structural Cox model that uses a simulation-based approach to characterize the population average effect of increasing all exposures of interest by one quantile. Survival analysis now available from qgcomp.cox.boot and qgcomp.cox.noboot functions.
• Added (semi-)Bayesian approaches to linear, logistic models via the arm package. Available for qgcomp.boot, qgcomp.noboot, and qgcomp functions
• Allow parallel processing of bootstrap variance estimation via the future and future.apply packages
• Added default plotting of survival curves for the qgcomp.cox.boot function
• Miscellaneous error checking to improve readability of error messages

Bug fixes

• Better guessing for qgcomp function

qgcomp v1.1.0

Major changes

• Added bootstrap covariance matrix to output of qgcomp.boot, which allows plotting of MSM intervals
• Plots now include confidence bands, when appropriate, and offer more control
• Fixed standardization in data
• Added Cox proportional hazards variants of qgcomp models
• Allow tibbles to be used as data objects

Bug fixes

• Fixed issue where MSM fit would default to 4 levels if q is unspecified and breaks are user defined (rare, major)
• Fixed error that occurred when a tibble was used as the data object, rather than a data frame (common, minor)

qgcomp v1.0.0

Major changes

• First release on CRAN, benchmark v0.8.14 as release version 1.0

Bug fixes

• v0.8.12: Breaks now properly reported as NULL using qgcomp.boot when q = NULL, rather than causing a fatal error (rare, minor)
• v0.8.13: Fixed error if specifying nonlinear fit in qgcomp.boot when q = NULL by specifying fixed values for “interventions” and warning users (rare, minor)
• v0.8.14: Documentation fixes for CRAN release

qgcomp v0.8.13

Major changes

Bug fixes

• v0.8.12: Breaks now properly reported as NULL using qgcomp.boot when q = NULL, rather than causing a fatal error
• v0.8.13: Fixed error if specifying nonlinear fit in qgcomp.boot when q = NULL by specifying fixed values for “interventions” and warning users

qgcomp v0.8.11

Major changes

• Code finalized for release