Major updates to function argument naming to improve consistency.
Most of the arguments are backward compatible.
New set of unit tests.
New vignette on specifying cluster-level model for mortality
estimation.
Improvements to existing functions.
Version 1.4.0
New major functions for population and prevalence simulation based
on population frame and population density information, along with
methods for aggregating pixel level prevalences and populations to the
areal level.
Version 1.3.0
New SAE functions and vignette.
Version 1.2.1
smoothSurvey now can return posterior draws.
More flexible strata effect specification in
smoothCluster.
Discrete cut option for mapPlot
Internal changes to work with the latest INLA version 21.11.22.
Version 1.2.0 (2021-07-01)
Major expansion for smoothSurvey to implement popular
SAE methods. Syntax change to the function.
Allows smoothDirect and smoothCluster to
fit space-only models.
smoothSurvey, smoothDirect, and
smoothCluster now returns S3 classed objects.
Bug fixes.
Version 1.1.0 (2021-01-31)
New features:
Allows stratum-specific time trends to be shared in cluster-level
models.
Allows age truncated to full years to be adjusted with the
age.truncate variable in getBirths function.
This corrects the person-month calculation for DHS surveys where the age
in months are reported in only full years for children above 24 months
old.
Major bug fix: the person-months records produced by
getBirths function contained an error in the previous
versions, leading to incorrect death counts and exposure months. In
addition, when age bands are specified to be different from the default,
the age variable of the output could be wrong. These bugs are now fixed
in the latest version.
Other bug fixes:
Fix incorrectly calculated time main effect in getDiag
function.
Fix bug when data contain rows with incorrectly labeled time
periods.
Fix but when year.cut argument is of length 2 in
getBirths function.
Version 1.0.0 (2020-07-01)
Major updates to functions.
fitGeneric is now smoothSurvey
fitINLA is now smoothDirect
fitINLA2 is now smoothCluster
More extensions in both smoothed direct and cluster level
models.
Major changes to how temporal models are specified with
time.model and st.time.model.
More interpretable parameterization of slope and random slopes.
More visualization options.
Note: Previous function name and argument syntax remain to work as
before, but may not receive high priority in maintenance in the
future.
Many minor improvements in functions.
Better model summary message.
Removed unnecessary function arguments, e.g., geo in
various functions.
Removed the requirement to repeated specifying Amat,
year_label and year_range. Now they are only
required in the model fitting stage.
New vignettes.
Version 0.3.1 (2019-10-23)
Fixed minor typo that lower and upper bounds switched after applying
aggregateSurvey().
Add option to remove person-month records if last time period
contain only k years of data in getBirth().
Improved mapPlot().
Version 0.3.0 (2019-10-01)
Version 0.3.0 contains some major updates from the previous
versions.
The following functions have been renamed. Most of the function
arguments remain the same:
countrySummary is now getDirect
cuontrySummary_mult is now
getDirectList
fitspace is now fitGeneric
projINLA is now getSmooth
Major new functions:
fitINLA2: implements new smoothing methods based on
binomial models at cluster level.
getDiag: produce diagnostic plots for the fitted
model.
hatchPlot: plot variables on a map with hatching
indicating the width of the credible interval.
The following help functions are added:
getAdjusted: produce adjusted estimates for a fitted
model
getAmat: automatic extract spatial adjacency matrix
from the polygon file.
getCounts: aggregate person-month data into counts and
totals by groups.
mapPoints: map GPS points to polygon regions.
Default prior changed to BYM2 + PC priors.
Various name changes for function arguments to reduce
ambiguity.
Various output column name change to improve consistency across
functions.
Three set of new vignettes are provided to guide users through
various modeling workflow.