qgcomp v2.18.7
Major changes
Minor changes
- export .qgcomp_object function and .qgcomp_object_add function.
These function facilitate transportable methods that can be used in
external extensions to qgcomp (.e.g)
Bug fixes
- bug fix for weights, cluster in Cox models
qgcomp v2.18.4
Major changes
- Added modelbound.ee function to generate confidence intervals for
regression lines with estimating equation fits
- Revamped underlying code to plots to facilitate
integration/overlays
Minor changes
- Implementing a few functions from qgcompintpackage to
support consistency across packages
- Documentation fixes (cch functions and missing plots/formulae in
vignettes)
Bug fixes
- fix bug in df.residual function that impacted integration with
micepackage
qgcomp v2.17.3
Major changes
- Added glm.tobit.noboot function to fit a Tobit model with
qgcomp
Minor changes
- Documentation improvements
- Code hygeine to prevent issues with edge cases
Bug fixes
qgcomp v2.16.4
Major changes
- Added glm.ee function to use estimating equations approach (allows
non-linear and longitudinal models without bootstrapping)
Minor changes
- Split vignette into two vignettes and added examples
Bug fixes
- Mice function (mice.impute.leftcenslognorm) to allow empty
prediction sets: fixed a bug that led to hidden failures resulting in
very low values for imputations
- Fixed glm.ee for Tibbles, non-linear models (which never made it to
CRAN release)
qgcomp v2.15.2
Major changes
- Added multinomial models (qgcomp.multinomial.noboot and
qgcomp.multinomial.boot)
- Plot for multinomial models (qgcomp.multinomial.noboot only)
- Changed qgcomp.boot to qgcomp.glm.boot and qgcomp.noboot to
qgcomp.glm.noboot for clarity. The old functions still work (for
now).
Minor changes
- Mice function (mice.impute.leftcenslognorm) to allow empty
prediction sets
- mice.impute.leftcenslognorm has been given an alias
mice.impute.tobit
- Added simulation of multinomial outcomes
- Code-base hygiene
Bug fixes
- Fixed some miscellaneous bugs in the printfunction for
non-standard link functions.
- Fixing bug in model pointwisebound.noboot that gave non-sense
confidence intervals
qgcomp v2.10.0
Major changes
Minor changes
- qgcomp.partials now allows quantile definitions based on the
training and validation data, which treats the quantiles as fixed values
across both datasets and leads to more stable results in small samples
(set via .globalbreaks = TRUE in qgcomp.partials)
Bug fixes
- Fixed major bug in qgcomp.partials:
https://github.com/alexpkeil1/qgcomp/issues/28
qgcomp v2.9.0
Major changes
Minor changes
- Replace qgcomp.partials with re-factored version with new
quantization defaults
Bug fixes
- Fixed error https://github.com/alexpkeil1/qgcomp/issues/26
- Clarifed error message in
https://github.com/alexpkeil1/qgcomp/issues/14
- Created new hidden functions for testing that will eventually
replace qgcomp.partials
qgcomp v2.8.6
Major changes
Minor changes
Bug fixes
- Fixed misuse of “all.equal” in tests
qgcomp v2.8.5
Major changes
Minor changes
- Handling of parallel processing through futures: bringing in line
with package recommendations and planned deprecations.
- Documentation changes
qgcomp v2.8.0
Major changes
- Exposed simulation functions to the user
- Enabled no-intercept models in qgcomp.boot and qgcomp.noboot
Minor changes
- Parallel code now enables external setting of if(parplan)
future::plan to facilitate broader parallelization schemes
- Documentation improvements
- Included FAQs in vignette
qgcomp v2.7.0
Major changes
Minor changes
- Changed underlying parallel code to adapt to deprecations from
future package
- Documentation improvements
- Enabled by-observation limit of detection/right censoring point for
mice.impute.leftcensorlognorm
Bug fixes
qgcomp v2.6.0
Major changes
- Added cox.survcurve.bootfunction to estimate survival
curves from a qgcomp.cox.boot fit
- Refactored plot code (changes should be invisible to users except
bug fixes)
Minor changes
- documentation improvements
- Changed “pointwisebound.*” and “modelbounds.*” to give more sensible
output
Bug fixes
- Fix bug in tidy when using Cox model
- Bug fixes in bounds calculation with binomial outcomes, which lead
to incorrect bounds on plots
- Fixed long running harmless and annoying print bug that confused “t”
with “z”
qgcomp v2.5.0
Major changes
- Documentation improvements
- Added split_datafunction to assist with inference from
data adaptive procedures (such as qgcomp.partials) and model
selection
Minor changes
- Removed “experimental” tags on Poisson family, Zero inflated
models
- Added smarter “expnms” default to predict.qgcompfitfunction with new data
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 psclpackage functions.)
Bug fixes
- Package broomdeprecates 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()andpointwisebound.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()andqgcomp.noboot()functions to fit quantile g-computation for
count data
- Added genericsandtibblepackage
dependencies and optional installs ofbroom
- Added functions to facilitate multiple imputation through the
micepackage.
- Added weightparameters 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).
- idparameter caused intermittent error when used in- qgcomp.boot
- MCsizeparameter caused intermittent error when used in- qgcomp.boot
- vcov()didn’t yield a covariance matrix when applied to- qgcomp.*.nobootobjects
qgcomp v2.1.2
Major changes
- Documentation improvements
- Added qgcomp.zi.bootfunction 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.nobootfunction to fit (linear/additive
only) versions of quantile g-computation for zero-inflated Poisson or
negative binomial models (adds additional dependency onpsclpackage)
- 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.bootfits.
Bug fixes
- Fixed fatal error for plotting output of
qgcomp.cox.bootwhen model was adjusted for covariates
- Fixed variable typing issue that arose when fitting
qgcomp.bootwith 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.bootandqgcomp.cox.nobootfunctions.
- Added (semi-)Bayesian approaches to linear,
logistic models via the armpackage. Available forqgcomp.boot,qgcomp.noboot, andqgcompfunctions
- Allow parallel processing of bootstrap variance estimation via the
futureandfuture.applypackages
- Added default plotting of survival curves for the
qgcomp.cox.bootfunction
- Miscellaneous error checking to improve readability of error
messages
Bug fixes
- Better guessing for qgcompfunction
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
qis 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.bootwhen q = NULL, rather than causing a fatal
error (rare, minor)
- v0.8.13: Fixed error if specifying nonlinear fit in
qgcomp.bootwhen 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.bootwhen q = NULL, rather than causing a fatal
error
- v0.8.13: Fixed error if specifying nonlinear fit in
qgcomp.bootwhen q = NULL by specifying fixed values for
“interventions” and warning users
qgcomp v0.8.11
Major changes
- Code finalized for release