NAMESPACE: Removed sample, runif, and setNames from
importFrom(stats, ...). These are base:: functions and are always
available without import. Listing them under stats:: caused the warning:
object 'sample' is not exported by 'namespace:stats'
on devtools::load_all() and R CMD CHECK.
Added correct @importFrom stats coef lm qt sd var and
@importFrom utils head read.csv roxygen2 tags to R/zzz.R so that
devtools::document() regenerates the NAMESPACE without the
base:: / stats:: confusion.
NRMSampling.Rproj RStudio project file for streamlined development
with devtools, roxygen2, and testthat integration.stratified_sample() now accepts a named integer vector for n_per_stratum,
enabling Neyman (optimal) or any user-defined allocation.pps_sample() now attaches .inclusion_prob (n * p_i) to output, ready for
direct use with ht_estimator().plot_summary() now handles all-numeric data frames when vars = NULL
without requiring explicit column names.carbon_stock_estimate() now validates carbon_fraction range and documents
the IPCC (2006) default of 0.47.sampling_efficiency() for quantitative comparison of two sampling
designs via relative efficiency (RE = Var1 / Var2).sf
or terra are not available, rather than an opaque error.purposive_sample(): condition evaluation now uses with() instead of
eval(parse(...)) on the global environment, preventing accidental access
to objects outside the data frame.systematic_sample(): fixed an edge case where k = nrow(data) would
select only one unit rather than erroring.quota_sample(): now silently caps quota to stratum size instead of
erroring when quota exceeds available units.regression_estimator(): now requires at least 3 complete observations
before fitting and raises an informative error..Rbuildignore updated to exclude NRMSampling.Rproj and .Rproj.user/
from the CRAN source bundle..gitignore expanded with comprehensive R, RStudio, and OS entries.@examples verified to run in under 5 seconds.cran-comments.md updated to reflect v0.2.0 test environments.srs_sample() -- Simple random sampling with/without replacement.stratified_sample() -- Equal, proportional, or Neyman allocation.systematic_sample() -- Fixed-interval systematic sampling.cluster_sample() -- Single-stage cluster sampling.pps_sample() -- Probability-proportional-to-size sampling.convenience_sample() -- First-n convenience sample.purposive_sample() -- Condition-based purposive sampling.quota_sample() -- Fixed-quota non-random selection.estimate_mean(), estimate_total() -- Mean and total estimators.estimate_variance(), estimate_se() -- Variance and SE with fpc.estimate_ci() -- t-based confidence intervals.ratio_estimator() -- Ratio estimate of population total.regression_estimator() -- Regression-adjusted mean estimate.ht_estimator(), ht_variance() -- Horvitz-Thompson estimator and variance.stratified_estimator() -- Weighted stratified mean estimator.biomass_estimate() -- Total and mean biomass from plot data.soil_loss_estimate() -- Total and mean soil loss estimation.carbon_stock_estimate() -- Carbon stock from biomass.plot_summary() -- Descriptive statistics for numeric columns.sampling_efficiency() -- Relative efficiency of two designs.to_sf_points(), spatial_random_sample(),
spatial_systematic_sample(), spatial_stratified_sample(),
spatial_cluster_sample(), raster_stratified_sample(),
raster_pps_sample(), extract_raster_values(),
spatial_biomass_estimate(), plot_sampling(), plot_sampling_gg().sample_nrm -- 100-plot synthetic NRM field dataset.sample_spatial -- 100-observation geo-referenced NRM dataset.