EGAnet 1.2.3
Major fixes to previous CRAN release version 1.2.0
If you've previously ran your analysis using version 1.2.0, we recommend re-running the analyses with version 1.2.3. There were some major bugs that may have affected your results.
Changes in 1.2.3
o FIX: many bug fixes related to latest update; functions have largely returned to stable status
o UPDATE: Mac and Linux parallelizations have been optimized
o UPDATE: documented examples are more efficient for CRAN checks
Changes in 1.2.1
o FIX: bootEGA
read of bootstrap data (was not calling from datalist
in do.call
leading to perfect item stability)
o FIX: number of possible colors expanded to 70 (increased from 40)
Changes in version 1.2.0
o FIX: hex codes used in EGA plots
o FIX: ordered = TRUE
for categorical data in lavaan CFAs
o UPDATE: consesnsus clustering is now used with Louvain in EGA
o UPDATE: print/summary S3methods have been standardized
o ADD/UPDATE: boot.ergoInfo
has achieved functional working order. Results can be trusted to suggest whether dynamic data possess the ergodic property
o ADD: information theoretic clustering algorithm for dynamic data is available in infoCluster
o REMOVE: "alpha" and "adapt" options in UVA
(removes {fitdistrplus} dependency)
o REMOVE: {qgraph} plots are no longer available
o ADD: convert2igraph
is now a core function
o ADD: Jensen-Shannon Divergence jsd
for determining (dis)similarity between network strcutures
o ADD: riEGA
, EGA.fit
, and hierEGA
functionality to bootEGA
o ADD: hierEGA
functionality to itemStability
and dimensionStability
o UPDATE: "louvain" algorithm used as default for unidimensionality check in EGA
o INTERNAL: cleaned up EGA
and EGA.estimate
; streamlined code; no user facing differences
Changes in version 1.1.0
o FIX: CRAN note when if(class(object))
. Replaced by if(is(object))
.
o FIX: bug in EGA.estimate
when using the TMFG network method. The resulting EGA plot did not have the correct node names.
o FIX: bug in UVA
when trying to use sum score (reduce.method = "sum"
) in automated procedure
o ADD: measurement invariance
function for testing differences in network loadings between groups
o UPDATE: itemStability
now has a parameter structure
in which the user can specify a given structure to test its stability.
o ADD: riEGA
implementing random-intercept EGA for wording effects
o ADD: hierEGA
implementing hierarchical EGA
o FIX: consensus clustering for the Louvain algorithm
o ADD: louvain
algorithm with added optimization option using tefi