Man pages for vjcitn/sars2app
COVID-19 data resources and analysis tools cut down for an interactive app
| a3 | alpha3 codes for countries |
| Arima_by_county | county-level model |
| Arima_by_state | Use Rob Hyndman's forecast package to estimate drift in ARIMA... |
| Arima_contig_states | full incidence for contiguous states |
| Arima_drop_state | fit ARIMA model to US data dropping one state |
| Arima_drop_states | multistate exclusion prior to ARIMA |
| Arima_nation | Use Rob Hyndman's forecast package to estimate drift in ARIMA... |
| contig_states_dc | provide vector of contiguous US state names and DC |
| contig_states_twolet | provide vector of contiguous US state names and DC, abbr |
| country_metadata | Get basic country data |
| cumulative_events_ejhu | constructor for covid_events |
| cumulative_events_nyt_county | create cumulative_events instance for county in state data... |
| cumulative_events_nyt_state | create cumulative_events instance for state data from NYT |
| descartes_mobility_data | Get US daily mobility data from Descartes Labs |
| dot-munge_data_from_jhu | simple function to munge JHU data into long-form tibble |
| dot-munge_us_data_from_jhu | simple function to munge JHU US counties data into long-form... |
| dot-remove_df_columns | utility function to remove columns that contain 'data.frame'... |
| enriched_jhu_data | Get enriched jhu dataset enriched with country-level metadata |
| est_Rt | produce an MCMC-based EpiEstim Rt estimate on the 29-day... |
| event_tag | generalize type of event modeled |
| form_incident_events | transform cumulative data to daily incidence |
| grid_2d | a two-dimensional grid of integers |
| integer_to_fips | convert an integer to fips |
| jhu_data | Global COVID-19 data from JHU CSSEGIS |
| jhu_data_to_excel | Create +/- write excel format of enriched JHU global data |
| jhu_us_data | US counties COVID-19 data from JHU CSSEGIS |
| min_bic | minimize BIC for ARIMA models with default differencing order... |
| min_bic_2020_05_20 | a nationwide collection of best state-specific AR/MA model... |
| min_bic_2020_06_12 | a nationwide collection of best state-specific AR/MA model... |
| min_bic_2020_06_30 | a nationwide collection of best state-specific AR/MA model... |
| min_bic_2020_07_06 | a nationwide collection of best state-specific AR/MA model... |
| min_bic_2020_10_21 | a nationwide collection of best state-specific AR/MA model... |
| min_bic_2020_11_22 | a nationwide collection of best state-specific AR/MA model... |
| min_bic_2020_11_25 | a nationwide collection of best state-specific AR/MA model... |
| min_bic_2020_12_28 | a nationwide collection of best state-specific AR/MA model... |
| min_bic_2021_01_01 | a nationwide collection of best state-specific AR/MA model... |
| min_bic_2021_03_21 | a nationwide collection of best state-specific AR/MA model... |
| min_bic_2021_12_05 | a nationwide collection of best state-specific AR/MA model... |
| min_bic_2022_01_01 | a nationwide collection of best state-specific AR/MA model... |
| min_bic_all_states | organize search over contiguous states for optimal statewise... |
| nytimes_county_data | United States county and state level data from the New York... |
| plot.covid_events | plot for covid_events |
| plot_sync | display synchronized death and confirmed case series |
| plot_sync_mob | illustrate joint behavior of mobility data and COVID-19... |
| print.bic_seq | report for optimal AR/MA search using BIC |
| print.covid_events | print for a covid_events instance |
| resync | shift the death records in dfr 'shift' days into the past |
| run_ee | basic support, formerly completely hidden in inst, uses... |
| run_meta | obtain input to rmeta meta.summaries, metaplot |
| run_meta_county | county within state metaanalysis of incidence velocity |
| s2p_get_cache | get the BiocFileCache for sars2pack |
| si_cens_G | an EpiEstim-based, MCMC-derived SI sample, with Gamma basis |
| syncapp | shiny app for appraisal of synchronization of death incidence... |
| trim_between | trim part of series, generic |
| trim_between.covid_events | focus on segment of series delimited by two dates |
| trim_from | trim early part of series, generic |
| trim_from.covid_events | trim early part of series |
| tsapp | shiny app for appraisal of simple time-series models for... |
| usa_facts_data | United States state and county level data from USAFacts |
