Validation Report - bsts@0.9.10
Context
This report is fully automated and builds on rhub/ref-image image. Documents the installation of this package on an open source R environment, focusing on:
- Installation environment description
- Testing coverage
It is limited to assess whether unit tests and documentation are present and can execute without error. An assessment would be required that the tests and documentation are meaningful.
Package bsts
Metric based risk assessment
The following metrics are derived from the riskmetric R package.
| has_news | 0 |
| exported_namespace | 99 |
| has_vignettes | 0 |
| export_help | 99 |
| has_website | FALSE |
| has_maintainer | Steven L. Scott steve.the.bayesian@gmail.com |
| bugs_status | package DESCRIPTION does not have a BugReports field |
| has_bug_reports_url | 0 |
| downloads_1yr | 111116 |
| reverse_dependencies | 2 |
| has_examples | 1 |
| dependencies | 6 |
| license | LGPL-2.1 | MIT + file LICENSE |
Package general assessment: Coverage, check results, size, download the last year, reverse dependencies and number of dependencies.
Dependencies
Overall the package has these dependencies:
| package | type | |
|---|---|---|
| 1 | BoomSpikeSlab (>= 1.2.6) | Depends |
| 2 | zoo (>= 1.8) | Depends |
| 3 | xts | Depends |
| 4 | Boom (>= 0.9.13) | Depends |
| 5 | R(>= 3.4.0) | Depends |
| 6 | Boom (>= 0.9.13) | LinkingTo |
Package dependencies
Reverse dependencies
Overall the package has 2 reverse dependencies:
CausalImpact, MarketMatching
Namespace
Overall the package has 99 exported objects. 99 are documented:
AcfDist
TRUE
AddAr
TRUE
AddAutoAr
TRUE
AddDynamicRegression
TRUE
AddGeneralizedLocalLinearTrend
TRUE
AddHierarchicalRegressionHoliday
TRUE
AddLocalLevel
TRUE
AddLocalLinearTrend
TRUE
AddMonthlyAnnualCycle
TRUE
AddRandomWalkHoliday
TRUE
AddRegressionHoliday
TRUE
AddSeasonal
TRUE
AddSemilocalLinearTrend
TRUE
AddSharedLocalLevel
TRUE
AddStaticIntercept
TRUE
AddStudentLocalLinearTrend
TRUE
AddTrig
TRUE
AggregateTimeSeries
TRUE
AggregateWeeksToMonths
TRUE
bsts
TRUE
bsts.mixed
TRUE
bsts.prediction.errors
TRUE
BstsOptions
TRUE
CompareBstsModels
TRUE
DateRange
TRUE
DateRangeHoliday
TRUE
DateToPOSIX
TRUE
DayPlot
TRUE
dirm
TRUE
DirmModelOptions
TRUE
DynamicRegressionArOptions
TRUE
DynamicRegressionHierarchicalRandomWalkOptions
TRUE
DynamicRegressionRandomWalkOptions
TRUE
EstimateTimeScale
TRUE
ExtendTime
TRUE
FixedDateHoliday
TRUE
GeometricSequence
TRUE
GetFractionOfDaysInInitialMonth
TRUE
GetFractionOfDaysInInitialQuarter
TRUE
HarveyCumulator
TRUE
HasDuplicateTimestamps
TRUE
IsRegular
TRUE
LastDayInMonth
TRUE
LastWeekdayInMonthHoliday
TRUE
LongToWide
TRUE
MATCH.NumericTimestamps
TRUE
MatchWeekToMonth
TRUE
MaxWindowWidth
TRUE
MaxWindowWidth.DateRangeHoliday
TRUE
MaxWindowWidth.default
TRUE
mbsts
TRUE
MonthDistance
TRUE
MonthPlot
TRUE
named.holidays
TRUE
NamedHoliday
TRUE
NoDuplicates
TRUE
NoGaps
TRUE
NthWeekdayInMonthHoliday
TRUE
plot.bsts
TRUE
plot.bsts.mixed
TRUE
plot.bsts.prediction
TRUE
plot.mbsts
TRUE
plot.mbsts.prediction
TRUE
PlotBstsCoefficients
TRUE
PlotBstsComponents
TRUE
PlotBstsForecastDistribution
TRUE
PlotBstsMixedComponents
TRUE
PlotBstsMixedState
TRUE
PlotBstsPredictionErrors
TRUE
PlotBstsPredictors
TRUE
PlotBstsResiduals
TRUE
PlotBstsSize
TRUE
PlotBstsState
TRUE
PlotDynamicRegression
TRUE
PlotHoliday
TRUE
PlotMbstsSeriesMeans
TRUE
PlotSeasonalEffect
TRUE
predict.bsts
TRUE
predict.mbsts
TRUE
qqdist
TRUE
Quarter
TRUE
RegularizeTimestamps
TRUE
RegularizeTimestamps.Date
TRUE
RegularizeTimestamps.default
TRUE
RegularizeTimestamps.numeric
TRUE
RegularizeTimestamps.POSIXt
TRUE
residuals.bsts
TRUE
Shorten
TRUE
SimulateFakeMixedFrequencyData
TRUE
SpikeSlabArPrior
TRUE
StateSizes
TRUE
SuggestBurn
TRUE
summary.bsts
TRUE
weekday.names
TRUE
WeekEndsMonth
TRUE
WeekEndsQuarter
TRUE
WideToLong
TRUE
YearMonToPOSIX
TRUE
YearPlot
TRUE Examples
There are 69 help pages with examples, from 69 (100.00 %).
NEWS
The package has NEWS file and it is current.
License
The package uses .
Installation environment
System Info
| Field | Value |
|---|---|
| Image | rhub/ref-image |
| OS | Ubuntu 24.04.1 LTS |
| Platform | x86_64-pc-linux-gnu |
| System | x86_64, linux-gnu |
| Execution Time | 2025-02-15 04:51:33 UTC |
System information. Table about the system used to check the package.
R Session Info
Information about the R environment and capabilities:
R version 4.4.2 (2024-10-31)
Platform: x86_64-pc-linux-gnu
Running under: Ubuntu 24.04.1 LTS
Matrix products: default
BLAS: /usr/lib/x86_64-linux-gnu/openblas-pthread/libblas.so.3
LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.26.so; LAPACK version 3.12.0
locale:
[1] LC_CTYPE=C.UTF-8 LC_NUMERIC=C LC_TIME=C.UTF-8
[4] LC_COLLATE=C.UTF-8 LC_MONETARY=C.UTF-8 LC_MESSAGES=C.UTF-8
[7] LC_PAPER=C.UTF-8 LC_NAME=C LC_ADDRESS=C
[10] LC_TELEPHONE=C LC_MEASUREMENT=C.UTF-8 LC_IDENTIFICATION=C
time zone: UTC
tzcode source: system (glibc)
attached base packages:
[1] tools stats graphics grDevices utils datasets methods
[8] base
loaded via a namespace (and not attached):
[1] riskreports_0.0.0.9003 compiler_4.4.2 fastmap_1.2.0
[4] cli_3.6.4 htmltools_0.5.8.1 yaml_2.3.10
[7] rmarkdown_2.29 knitr_1.49 jsonlite_1.8.9
[10] xfun_0.50 digest_0.6.37 rlang_1.1.5
[13] evaluate_1.0.3 Platform used:
OS.type file.sep dynlib.ext GUI endian pkgType path.sep
"unix" "/" ".so" "X11" "little" "source" ":"
r_arch
"" R’s capabilities:
jpeg png tiff tcltk X11 aqua
TRUE TRUE TRUE TRUE FALSE FALSE
http/ftp sockets libxml fifo cledit iconv
TRUE TRUE FALSE TRUE FALSE TRUE
NLS Rprof profmem cairo ICU long.double
TRUE TRUE TRUE TRUE TRUE TRUE
libcurl
TRUE External software:
zlib
"1.3"
bzlib
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xz
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libdeflate
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PCRE
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ICU
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TRE
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iconv
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readline
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BLAS
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libpng jpeg libtiff
"1.6.43" "8.0" "LIBTIFF, Version 4.5.1" Numerical characteristics of the machine:
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2.220446e-16 1.110223e-16 2.225074e-308
double.xmax double.base double.digits
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double.rounding double.guard double.ulp.digits
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double.neg.ulp.digits double.exponent double.min.exp
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double.max.exp integer.max sizeof.long
1.024000e+03 2.147484e+09 8.000000e+00
sizeof.longlong sizeof.longdouble sizeof.pointer
8.000000e+00 1.600000e+01 8.000000e+00
sizeof.time_t longdouble.eps longdouble.neg.eps
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longdouble.digits longdouble.rounding longdouble.guard
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longdouble.min.exp longdouble.max.exp
-1.638200e+04 1.638400e+04 Random number generation process:
[1] "Mersenne-Twister" "Inversion" "Rejection" Information about the environment
Environmental and options variables affect how package checks and software in it might behave. Here is the environmental variables when running this report
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