NEWS.md
rank_regression()
: For all distributions, the
confidence intervals of the parameters are now computed on the basis of
a heteroscedasticity-consistent (HC) covariance matrix. If the
confidence intervals for the Weibull parameters are to be calculated
according to Mock, this must be specified via the new argument
options
.mixmod_regression()
: Since this function uses
rank_regression()
, the changes regarding the confidence
intervals also apply here.plot_prob.wt_model()
: Removed dysfunctional argument
distribution
. The distribution is inferred using the model
x
.delta_method()
: Renamed argument p
with
x
.confint_betabinom()
and confint_fisher()
:
Removed constant features distribution
, bounds
and direction
from the tibble output and added them as
attributes instead.mcs_mileage()
: Changed name of output column
mileage
to x
(in accordance with
reliability_data()
).mcs_delay()
: Changed name of output column
time
to x
(in accordance with
reliability_data()
).dist_mileage.default()
(former
dist_mileage()
): Renamed argument mileage
with
x
.mcs_mileage.default()
(former
mcs_mileage()
): Renamed argument mileage
with
x
.'exponential'
and 'exponential2'
).estimate_cdf()
: Added option
johnson_method
to specify the formula which is used for
determining cumulative failure probabilities.rank_regression()
: New arguments direction
(specifies direction of dependency in the model), control
(enables access to argument control
in
optim()
) and options
(method used to calculate
the confidence intervals for the parameters, default is “HC”).r_squared_profiling()
: New argument
direction
.ml_estimation()
: New arguments
start_dist_params
(optional vector with initial values of
the parameters) and control
(enables access to argument
control
in optim()
).loglik_profiling()
: New argument wts
.loglik_profiling()
is now an S3 generic.
loglik_profiling()
becomes
loglik_profiling.default()
. Added
loglik_profiling.wt_reliability_data()
.loglik_function()
is now an S3 generic.
loglik_function()
becomes
loglik_function.default()
. Added
loglik_function.wt_reliability_data()
.confint_betabinom()
: Methods "kaplan"
and
"nelson"
of estimate_cdf()
can be used for
beta-binomial confidence bounds.mcs_mileage_data()
: Create consistent MCS data
for mcs_mileage()
.mcs_delay_data()
: Create consistent MCS data for
mcs_delay()
.dist_mileage()
is now an S3 generic.
dist_mileage()
becomes dist_mileage.default()
.
Added dist_mileage.wt_mcs_mileage_data()
.dist_delay()
is now an S3 generic.
dist_delay()
becomes dist_delay.default()
.
Added dist_delay.wt_mcs_delay_data()
.dist_delay()
now supports the estimation of multiple
delay distributions at once.mcs_mileage()
is now an S3 generic.
mcs_mileage()
becomes mcs_mileage.default()
.
Added mcs_mileage.wt_mcs_mileage_data()
.mcs_delay()
is now an S3 generic.
mcs_delay()
becomes mcs_delay.default()
. Added
mcs_delay.wt_mcs_delay_data()
.print.wt_mcs_delay_data()
and
print.wt_mcs_mileage_data()
.print.wt_mileage_estimation()
.print.wt_delay_estimation()
for one delay and
print.wt_delay_estimation_list()
for multiple delays.reliability_data()
: Using !!
syntax with arguments x
and status
resulted in
an error.estimate_cdf()
preserves additional columns, that were
returned from reliability_data(..., .keep_all = TRUE)
.print.wt_reliability_data()
.plot_conf()
: Wrong confidence bounds were
displayed for direction = "x"
(#181).plot_conf()
:
plot_method = "ggplot2"
and exactly one method in
estimate_cdf()
resulted in an error (#182).mcs_mileage()
now has class
wt_mcs_mileage
.mcs_delay()
now has class
wt_mcs_delay
.dist_mileage()
now has class
wt_mileage_estimation
.dist_delay()
now has class
wt_delay_estimation
or
wt_delay_estimation_list
.plot_prob()
: Better work out the distinction between
plot_prob.wt_cdf_estimation()
and
plot_prob.wt_model()
. The former is applied to a CDF
estimation whereas the latter is applied to a mixture model.mr_method()
: Deprecated, use
estimate_cdf()
instead. Renamed output column
characteristic
with x
. Set default value for
id
to NULL
.johnson_method()
: Deprecated, use
estimate_cdf()
instead. Renamed output column
characteristic
with x
. Set default value for
id
to NULL
.kaplan_method()
: Deprecated, use
estimate_cdf()
instead. Renamed output column
characteristic
with x
. Set default value for
id
to NULL
.nelson_method()
: Deprecated, use
estimate_cdf()
instead. Renamed output column
characteristic
with x
. Set default value for
id
to NULL
.plot_prob.default()
(former plot_prob()
):
Renamed event
with status
.plot_prob_mix()
: Deprecated, use
plot_prob()
instead. Removed default value
NULL
for argument mix_output
. Renamed
event
with status
.ml_estimation.default()
(former
ml_estimation()
): Renamed event
with
status
. Removed details
. Changed names and
contents of list elements in output. See
?ml_estimation
.loglik_function
: Renamed event
with
status
. Renamed pars
with
dist_params
.rank_regression.default()
(former
rank_regression()
): Renamed event
with
status
. Removed details
. Changed names and
contents of list elements in output. See
?rank_regression
.mixmod_em.default()
(former mixmod_em()
):
Renamed event
with status
. Removed
post
.mixmod_regression.default()
(former
mixmod_regression()
): Renamed event
with
status
. Added arguments k
and
control
, which provide finer control over the segmentation
process. Expect default setting to provide other results than in prior
versions.predict_prob()
: Renamed loc_sc_params
with
dist_params
.predict_quantile()
: Renamed loc_sc_params
with dist_params
.plot_mod.default()
(former plot_mod()
):
Renamed event
with status
. Renamed
loc_sc_params
with dist_params
. Removed
y
.plot_mod_mix()
: Deprecated, use plot_mod()
instead. Renamed event
with status
.plot_pop()
: Added argument tol
to restrict
the range of failure probabilities. Removed argument color
.
Renamed argument params
to dist_params_tbl
,
which only supports location and scale parameters (also for
distribution = "weibull"
). Changed behavior of
dist_params_tbl
: A tibble
is now recommended
instead of a vector.confint_betabinom.default()
(former
confint_betabinom()
): Renamed event
with
status
. Renamed loc_sc_params
with
dist_params
. Added argument b_lives
which
allows the user to specify probabilities p
for
B_p-lives
to be considered.confint_fisher.default()
(former
confint_fisher()
): Renamed event
with
status
. Renamed loc_sc_params
with
dist_params
. Renamed loc_sc_varcov
with
dist_varcov
. Added argument b_lives
which
allows the user to specify probabilities p
for
B_p-lives
to be considered.delta_method()
: Renamed loc_sc_params
with
dist_params
. Renamed loc_sc_varcov
with
dist_varcov
.plot_conf.default()
(former plot_conf()
):
Switched position of arguments direction
and
distribution
.dist_delay_register()
: Deprecated, use
dist_delay()
instead.dist_delay_report()
: Deprecated, use
dist_delay()
instead.mcs_delay_register()
: Deprecated, use
mcs_delay()
instead. Renamed x
with
time
. Renamed event
with status
.
Removed seed
. Removed int_seed
from output
list.mcs_delay_report()
: Deprecated, use
mcs_delay()
instead. Renamed x
with
time
. Renamed event
with status
.
Removed seed
. Removed int_seed
from output
list.mcs_delays()
: Deprecated, use mcs_delay()
instead. Renamed x
with time
. Renamed
event
with status
. Removed seed
.
Removed int_seed
from output list.dist_mileage()
: Removed event
. Renamed
x
with time
. Switched position of arguments
time
and mileage
.mcs_mileage()
: Removed event
. Renamed
x
with time
. Switched position of arguments
time
and mileage
.plot_prob()
or plot_pop()
via
argument plot_method
.reliability_data()
: Create consistent reliability
data.estimate_cdf()
: Unite functionality of
mr_method()
, johnson_method()
,
kaplan_method()
and nelson_method()
. Added
option ties.method
for method = "mr"
, which
specifies how ties should be treated.estimate_cdf()
and all
functions that depend on the cdf_estimation
(rank_regression()
, plot_prob()
,
plot_mod()
, plot_conf()
,
mixmod_regression()
).plot_prob()
and plot_mod()
are able to
handle mixture models.mixmod_regression()
is now more flexible. Argument
k
can be used to control number of subgroups or to
determine them in an automatic fashion. Argument control
provides additional control over the segmentation procedure.print.wt_rank_regression()
,
print.wt_ml_estimation()
,
print.wt_model_estimation()
,
print.wt_model_estimation_list()
,
print.wt_mixmod_regression()
and
print.wt_mixmod_regression_list()
.vcov.wt_model_estimation()
.dist_delay()
: Generalizes the
distribution-specific modeling of delays.mcs_delay()
: Generalizes the adjustment of
operating times by delays and supports multiple delays at once.rank_regression()
is now an S3 generic.
rank_regression()
becomes
rank_regression.default()
. Added
rank_regression.wt_cdf_estimation()
.plot_prob()
is now an S3 generic.
plot_prob()
becomes plot_prob.default()
. Added
plot_prob.wt_cdf_estimation()
and
plot_prob.wt_model()
.plot_mod()
is now an S3 generic.
plot_mod()
becomes plot_mod.default()
. Added
plot_mod.wt_model()
.plot_conf()
is now an S3 generic.
plot_conf()
becomes plot_conf.default()
. Added
plot_conf.wt_confint()
.plot_pop()
: Added support for multiple population lines
and comparison of two- and three-parametric distributions.dist_delay_register()
and
dist_delay_report()
: Use dist_delay()
instead.mcs_delay_register()
, mcs_delay_report()
and mcs_delays()
: Use mcs_delay()
instead.mr_method()
, johnson_method()
,
kaplan_method()
and nelson_method()
: Use
estimate_cdf()
instead.plot_prob_mix()
: Use plot_prob()
instead.plot_mod_mix()
: Use plot_mod()
instead.plot_mod_mix()
for the case of no
mixture distribution.confint_betabinom()
: many cases near
one -> unique()
.mr_method()
: assigning a rank for the
same lifetime.mixmod_regression
: call to
segmented::segmented.lm()
was incorrect."scatter"
and scatter mode
"markers"
to plotly plots.delta_method()
, r_squared_profiling()
and
loglik_profiling()
were vectorized.plot_prob_mix()
and
plot_mod_mix()
is deprecated and not used anymore.plot_prob_mix()
and plot_mod_mix()
is
deprecated; use mix_output instead.plot_mod_mix()
was revised and updated in the
way that the obtained results of the function mixmod_em()
can be visualized.plot_prob_mix()
was revised and updated in the
way that the obtained results of the function mixmod_em()
can be visualized.mixture_em_cpp()
) and is called in
mixmod_em()
.delta_method()
and
confint_fisher()
was made.loglik_profiling()
. In
general this function is used inside ml_estimation()
for
the purpose of estimating threshold parameter of three-parametric
models.r_squared_profiling()
. In general this
function is used inside rank_regression()
for the purpose
of estimating threshold parameter of three-parametric models.loglik_function()
. In
general this function is used inside ml_estimation()
for
the purpose of estimating the variance-covariance matrix of
location-scale models “sev”, “normal” and “logistic”. The function is
also used to estimate the variance-covariance matrix of
log-location-scale models with a threshold parameter, i.e. “weibull3”,
“lognormal3” and “loglogistic3”.ml_estimation()
:
wts
for case weights.