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emmeans
R
package for estimating marginal means of ssn_lm()
and
ssn_glm()
models.ssn_create_bigdist()
function was added to create large
distance matrices using the filematrix
R
package. Estimation for large data sets is performed by leveraging the
local
argument to ssn_lm()
and
ssn_glm()
. Prediction for large data sets is performed by
leveraging the local
argument to predict()
(and augment()
). When local
is used,
SSN2
looks for distance matrices created using
ssn_create_bigdist()
.ssn_import()
so that it does not force an
overwrite of the netgeom
column when it already
exists.verbose
argument to ssn_import()
,
ssn_import_predpts()
, and createBinaryID()
to
control whether warning messages are printed to the R
console.na.action
argument to
predict.ssn_lm()
and predict.ssn_glm()
functions to clarify that missing values in newdata
return
an error.type
argument in augment()
for
ssn_glm()
models to type.predict
to match
broom::augment.glm()
.augment()
for ssn_glm()
models now returns
fitted values on the link scale by default to match
broom::augment.glm()
.type.residuals
argument for
ssn_glm()
models to match
broom::augment.glm()
.logLik()
to match lm()
and
glm()
behavior. logLik()
now returns a vector
with class logLik
and attributes nobs
and
df
.AIC()
and BIC()
from stats
and removed SSN2
-specific
AIC()
methods.warning
argument to glances()
that
determines whether relevant warnings should be displayed or not.glances()
about interpreting
likelihood-based statistics (e.g., AIC, AICc, BIC) when a one model has
estmethod = "ml"
and another model has
estmethod = "reml"
.glances()
about interpreting
likelihood-based statistics (e.g., AIC, AICc, BIC) when two models with
estmethod = "reml"
have distinct formula
arguments.glances()
about interpreting
likelihood-based statistics (e.g., AIC, AICc, BIC) when two models have
different sample sizes.glances()
about interpreting
likelihood-based statistics (e.g., AIC, AICc, BIC) when two models have
different family supports (which can happen with ssn_glm()
models).cloud
argument to Torgegram()
to
return a cloud Torgegram.cex
to
plot.Torgegram()
.Torgegram()
; see
the robust
argument to Torgegram()
AUROC()
function to compute the area under the
receiver operating characteristic (AUROC) curve for ssn_glm
models when family
is "binomial"
and the
response is binary (i.e., represents a single success or failure).type
argument to loocv()
when
cv_predict = TRUE
and using ssn_glm()
models
so that predictions may be obtained on the link or response scale."terms"
prediction for
ssn_lm()
and ssn_glm()
models.scale
and df
arguments to
predict()
for ssn_lm()
models.dispersion
argument to predict()
for
ssn_glm()
models.anova(model1, model2)
) when
estmethod
is "ml"
for both models #25.anova(object1, object2)
when the name of
object1
had special characters (e.g., $
).ssn_glm()
models when family = "beta"
(#23).reexport.Rd
to reflect changes in
spmodel v0.8.0
’s handling of AIC()
and
AICc()
.README.md
) updates as part of a submission to Journal
of Open Source Software. Relevant issues associated with the review
are available at #11, #12, #13, #14, #15, #16, #17, #20, #21. The review is linked
here..ssn
folder that is accessed when importing SSN objects via
ssn_import()
.ssn_names()
to return column names in the
edges
, obs
, and preds
elements of
an SSN object.Matrix::rankMatrix(X, method = "tolNorm2")
to
Matrix::rankMatrix(X, method = "qr")
to enhance stability
when determining linear independence in X
, the design
matrix of explanatory variables.X
has perfect collinearities (i.e., is not full rank).format_additive
argument from
ssn_import()
because of transition to geopackage support,
which eliminates the need to convert additive function values to
text.create_netgeom()
function to create the
network geometry column for the edges
, obs
,
and preds
elements in an SSN object.SSN_to_SSN2()
that caused an error using
ssn_write()
with no prediction sites.names.SSN()
with ssn_names()
, as
names.SSN()
prevented proper naming of elements in the SSN
object.netgeometry
to
netgeom
to avoid exceeding the 10 character limit for
column/field names while writing to shapefiles (#2).family
is missing in
ssn_glm()
(#8).SSN_to_SSN2()
.Torgegram()
that prevented intended
computation when cutoff
was specified.plot.Torgegram()
that occasionally
prevented proper spacing of the legend.ssn_glm()
model objects (and their
summaries) when all covariance parameters were known.euclid_type
was "none"
.taildown_type
was "spherical"
.ssn_glm()
objects.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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