Remotes: data-wise/medfit; medfit now resolves
from CRAN. Pinned Suggests: medfit (>= 0.2.0).ci() for medfit
MediationData/SerialMediationData now extracts
the path covariance by parameter name and uses the full covariance
matrix (including off-diagonals) for both simple and serial mediation.
Removed the previous positional/value-matching heuristics and the
independence/diagonal fallbacks, which could silently produce incorrect
intervals; unresolved path labels now raise an informative error.medfit::extract_mediation() produces a
SerialMediationData for both lavaan (ordered
mediator vector) and lm/glm (mediator_models)
chains, and ci() consumes it via the documented
d1, d2, ... path-name contract. Added integration tests
that fit a real model, extract, and run ci() end-to-end
(skipped when medfit < 0.2.0).ubuntu-latest (devel) and
ubuntu-latest (oldrel-1) configurations--ignore-vignettes flag to skip vignette validation during
CI checksreexports topic from
_pkgdown.yml reference indextidy topic to _pkgdown.yml
reference index^STATUS\.md$ to
match ecosystem standardsubuntu-latest (devel) and
ubuntu-latest (oldrel-1) configurations--ignore-vignettes flag to skip vignette validation during
CI checksreexports topic from
_pkgdown.yml reference indextidy topic to _pkgdown.yml
reference index^STATUS\.md$ to
match ecosystem standardse1071,
modelr, and generics packages are no longer
required..skewness(), .kurtosis(), and
.resample_bootstrap() functions to replace external
dependencies.tidy() generic instead of re-exporting from
generics.R-CMD-check.yaml workflow for multi-platform
testing (macOS, Windows, Ubuntu with R devel/release/oldrel).test-coverage.yaml workflow for Codecov
integration.VignetteBuilder: knitr to DESCRIPTION for proper
vignette building.ProductNormal: Represents the distribution of the
product of normal random variables.MBCOResult: Encapsulates results from MBCO tests.cdf(),
dist_quantile(), ci(), print(),
summary(), show().print, summary, show) for
meaningful output.type = "mc").ProductNormal(mu = c(0.3, 0.4, 0.5), Sigma = diag(3)) for
three-way products..compute_ci_dop(), .compute_ci_mc(),
.compute_ci_asymp(), .compute_cdf_dop(),
.compute_cdf_mc(), .compute_quantile_dop(),
.compute_quantile_mc().ProductNormal objects
natively.medci(), pprodnormal(),
qprodnormal()) convert parameters and dispatch to S7
core.ci() Functionci() to S7 generic with methods for:
numeric: Legacy support for direct
coefficient/covariance input.lavaan: Automatic extraction and CI computation for
indirect effects.ProductNormal: Native S7 class support.ab := a*b) in lavaan
models.mu for better legacy
compatibility.mbco() to S7 generic with method for
MxModel objects.MBCOResult S7 objects with properties:
statistic, df, p_value,
type.$, [[, names) for
backward-compatible list-style access (e.g., result$chisq,
result$p).checkmate package
across all functions.match.arg() for categorical
arguments.print(),
summary(), and show() methods.ProductNormal displays: distribution type, means,
covariance matrix, SDs, and correlations.MBCOResult displays: test type, statistics, p-values
with significance levels, and interpretation.quantile() generic to
dist_quantile() to avoid masking
stats::quantile().print(), summary(),
show() now properly register with base generics.S7::S4_register() for formal
generic support.doParallel,
foreach, methods).alpha and
level parameters.type parameter
(accepts “MC”, “mc”, “DOP”, “dop”, etc.).ci() method (now
returns list with CI, Estimate,
SE components).mbco function documentation.checkmate for robust input validation.Fixed an issue where the type=“all” in the medci function would generate an error “object ‘MeekerCI’ not found”.
changed the dependency version for grDevices to >= 3.5 in the description file.
New parametric and non-parametric MBCO test, using
mbco function. Fixed an error with printing medci,
‘(1-alpha)% CI’
‘medci’ function output structure is changed. For each ‘type’, it produces a ‘list’ of ‘(1-alpha/2)% CI’, ‘Estimate’, and ‘SE’. See help(ci) for more information.
Two functions ‘pMC’ and ‘qMC’ are added.
for medci(), type=‘prodclin’ is replaced with ‘dop’.
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