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Fixed a bug in the C function wquant0
. For the special
case of samples of size 2, the weighted quantile (other than the median)
was wrong if the data were sorted in descending order. (Thanks to Ryota
Suzuki, who detected the bug, Issue
#1).
The summary()
method for objects of class
formula
has been replaced by svysummary()
because it did not handle non-standard cases correctly (Thanks to the
editorial office of the Journal of Statistical Software for pointing
this out).
Fixed defunct links in vignettes and added
requireNamespace()
as a guard for suggested packages in the
vignettes.
In the help files of functions that depend on the
survey
package or that extend its functionality, we added
the following note: “Package survey
must be loaded in order
to use this function.” to the Details section.
Files in /doc
folder are now in *.pdf
format which takes less space compared with the *.html
format. Thus, the warning
checking installed package size ... NOTE installed size is 5.4Mb sub-directories of 1Mb or more: doc 4.9Mb
disappeared
The print method for objects of class svystat_rob
now correctly prints: [Estimator] of the population
[mean/total].
The default value of argument type
in the functions
weighted_mean_huber()
, weighted_mean_tukey()
,
svymean_huber()
and svymean_tukey()
is now
"rwm"
. Type "rhj"
is still available (and will
be supported in the future) but is silently converted to
"rwm"
.
svyratio_huber()
and svyratio_tukey()
); these
functions are robust alternatives to
survey::svyratio()
.svymean_ratio()
and svytotal_ratio()
.MU284pps
: A pps sample without replacement
of size 50 from the MU284 population in Särndal et al. (1992).Functions svymean_reg()
and
svytotal_reg()
are not flagged as “experimental” anymore.
Several changes took place (in fact, the functions have undergone a
complete code refactoring):
auxiliary
has been replaced by the two
arguments N
(population size) and totals
(i.e., population totals of non-constant explanatory variables).
Important: svymean_reg()
is now called
with totals
not the population means.na.rm
and verbose
have been
dropped (not needed).svymean_reg()
and
svytotal_reg()
are now implemented as g-weighted
residual variance estimators.Added documentation for variable strat
in the
workplace
data and updated description of variable
payroll
.
Added 45-degree line in the diagnostic plot
method
for “3 Response vs. Fitted values” (which = 3
) of class
svyreg_rob
.
Method SE()
for class svyreg_rob
is now
exported to the namespace.
estimator$string
in the return value of function
mer()
indicates the name of the underlying estimator
correctly.which = 4
in
plot
) for class svyreg_rob
.Diagnostic plots for fitted regression model, i.e., objects of
class svyreg_rob
Robust regression: If the estimated regression scale (by default weighted MAD) is zero (or nearly so), the weighted IQR is tried instead. If the weighted IQR ist also zero, the function returns with an error.
Function mer()
for minimum estimated risk estimation
of location gained two new arguments:
method
: the method used in the search for a minimum,
e.g., "Brent"
, "BFGS"
, see
stats::optim()
for more detailsinit
determines the left side of the search interval
and the initial value in the minimization approachFunction mse()
computes/ extracts the estimated mean
square error/ estimated risk in presence of representative outliers; see
also mer()
Robust generalized regression estimation (GREG) of the mean and
total; see svymean_reg()
and svytotal_reg()
.
The current implementation of the functions is
EXPERIMENTAL and a warning is issued when calling the
functions (unless verbose = FALSE
). Experimental features
may:
svyreg_huberM()
and svyreg_tukeyM()
; the old
functions svyreg_huber()
and svyreg_tukey()
are deprecated but are kept for compatibility reasons.inst/doc
and test cases
in tests
have been updatedk_Inf
is now 1e06
not 1e05
; see function
svyreg_control()
).For designs with unequal probability sampling, the variance estimates
of the robust estimators of mean and total are now identical with the
estimates of survey::svymean()
and
survey::svytotal()
if the tuning constant is
k = Inf
or LB = 0
and UB = 1
Added DOI
to all references (where available).
svyreg_huberGM()
svyreg_tukey()
and svyreg_tukeyGM()
k
winsorized mean and total; see
weighted_mean_k_winsorized()
and
svymean_k_winsorized()
weighted_mean_dalen()
and svymean_dalen()
huber2()
counties
, flour
,
losdata
, and MU284strat
The original C implementation of wquantile
was buggy
(with implications for the R function weighted_quantile()
and also the iterative re-weighted least squares algorithm). The new C
implementation of wquantile
is sound.
Argument type = "rwm"
of
weighted_mean_huber()
is not used anymore (deprecated);
instead, the type is now called "rhj"
.